Category Archives: Data Mining

Jeep Bets Detroit’s First New Plant in 30 Years Will Address Decades of Customer Complaints – Newsweek

Written by admin on June 12, 2021 — Leave a Comment

It all started with a single question: "How do we do this better?" From there, Stellantis, then Fiat Chrysler Automobiles (FCA), put the people and plans into place to change the quality of their products for the better.

Initial product quality has been an issue across the board for companies that were formerly under the FCA umbrella (Alfa Romeo, Chrysler, Dodge, Fiat, Jeep, Maserati, and Ram) for years. Dodge made news last year when they tied with Kia for the top spot in the 2020 J.D. Power Initial Quality Study. It was the first time in 34 years that an American automaker had lead the pack.

That study details the problems encountered by owners of current model year vehicles during the first 90 days of ownership. "Owners of Jeep, and Stellantis brands in general, have historically reported more initial quality problems than the average," said Dave Sargent, vice president of automotive quality, J.D. Power.

Stellantis's Mack Plant was idled in 2012 and due for a makeover. As product plans were solidified, Jeep chose the next-generation Grand Cherokee to be the model that would christen the new facility, which lies adjacent to the company's Jefferson Plant on Detroit's north side, together forming the Detroit Assembly Complex.

The Mack Plant site has been an automotive industry manufacturing facility since 1916. Its rise and fall over the last century mirrors the story of Detroit itself. The current iteration is a combination of an overhauled assembly building that was built in the 1990s and new facilities that were constructed as part of a $1.6 billion investment announced in 2019. It is the first new assembly plant built in Detroit in 30 years.

Construction on the new facility began in the second quarter of 2019. It was swift, with completion occurring less than two years later. The three million square feet of floor space sit as part of the larger 266-acre site, which houses the company's Jeep Grand Cherokee L and forthcoming Grand Cherokee Base and 4xe Body Shop, Paint Shop, and General Assembly facilities.

Typical vehicle development follows a series of stages from conceptualization to approval to manufacturing to launch. Jeep's Grand Cherokee L team pulled in the manufacturing team early, a full six months before they typically would, in an effort to put vehicle quality in the spotlight.

Part of that process was having a hand in the design of the company's new Mack Plant layout. Jeep wasn't retrofitting a plant as an automaker typically would with the introduction of a generational redesign. They were starting from a metal and concrete shell, allowing them to fully customize the manufacturing process.

Automotive product planners, engineers, and designers typically work within a pyramid style of reporting with management at the top. Tom Seel, vehicle line executive for the Jeep Grand Cherokee L, explained that for the new generation SUV and the Mack Plant, Jeep flipped the formula on its head, putting the customer first.

Supporting that critical mission are the over 4,900 workers at Mack. Focusing on the customer means crafting an empowered workforce that personally felt responsible for the quality of the product that was on the line. Because the plant and most of its staff were new to the company, Jeep's team has the opportunity to create culture, not just seek to modify it. They want employees to take ownership in the vehicles rolling off the line and have pride in them. "It was an opportunity to set a new precedent," said Mario Holmes, model responsible, Jeep Grand Cherokee L, "This is their car."

This triggered a fundamental change in the approach to the manufacturing process. The company pulled experienced workers from other plants and put them in charge. They hired a workforce that has been slowly completing the on-boarding and training process. First shift was started last summer and second and third shifts began work in March and April, respectively.

Mack Plant staff encourage their workers to not allow anything that isn't perfect to pass. As a reminder of that commitment, signs hang at nearly every station on the plant floor reading "Build no defect. Accept no defect. Ship no defect."

If a worker sees a defect, they're responsible for pulling the andon handle, which halts the production line. The goal is to identify the problem, find out what can be done, and address it then and there rather than waiting for the vehicle to come off the line, go the dealer, be sold, and then be recalled. That formula looks to save time and money for customers, dealers, and Jeep.

Additionally, instead of waiting until the end of production for each vehicle to be tested, workers test them at three separate points, allowing any issues to be caught early on in the production process rather than at the end of the line or when the model reaches a dealership.

There are new tests on each Grand Cherokee L that aren't undertaken on the current generation Grand Cherokee - Buzz, Squeak, and Rattle (BSR) and the Nine Position Water Test. BSR testing allows plant workers to take the vehicle through a series of 11 simulated obstacles (pot holes, manhole covers, rumble strips, cobblestones, speed bumps, and gravel among them) to see if vehicle components fail at any point.

The Nine Position Water Test simulates a variety of terrain including hills and inclines, and weather conditions. Each vehicle goes through these tests, and a series of others. Any that don't pass all criteria are pulled for further inspection and not allowed to proceed to shipping until the issue has been resolved.

These tests are new to the plant as part of the company's redo. BSR testing is only done at one other U.S.-based Stellantis plant - Sterling Heights Assembly, home of the Ram 1500. The water test is similarly unique, only being conducted elsewhere at the Toledo Assembly Complex where the Jeep Wrangler and Gladiator are built.

There is a sense of urgency about the quality of the whole operation. Mack Plant managers huddle at 6 a.m. each morning to discuss downtime and lost time, and try to solve problems rather than wait for a weekly or monthly meeting.

Mechanical engineers have been moved to the plant floor, working at the site where the vehicle they're responsible for is produced, creating a more cohesive partnership from design to manufacturing where teams can work together while being hands-on with the product, meet with the employees who assemble it, and the interact with the supplies that are being delivered.

Data mining is also playing a critical part in the manufacturing quality control process. Jeep contracted with an outside vendor to create My Customer Voice, a data mining system that analyzes repair information sent by dealerships and pushes identifiable trend patterns to managers that are on the production line at Mack Plant. The effort aims to answer questions about installation problems, supplier part defects, and design flaws as soon as possible.

In 2020, J.D. Power reported that, for the first time in 15 years of survey tracking, Jeep performed better than average in initial quality tests, but that score was greatly impacted by the removal of problematic models from the company's lineup. Sargent notes that over the next few years, Jeep will be "introducing multiple significant new products", something that would be a challenge for any automaker and will be a "good test of the progress that the company has made."

The rest is here:

Jeep Bets Detroit's First New Plant in 30 Years Will Address Decades of Customer Complaints - Newsweek

Data Analytics Analyst-Risk at Willis Towers Watson – Insurance Journal

Written by admin on May 30, 2021 — Leave a Comment

The Business

Corporate risk and broking

We know how companies can unlock potential through effective risk management. Our clients rely on us to craft strategies to quantify, mitigate, and transfer risk, taking advantage of our industry experience and unparalleled market know-how. The result is a new way of embracing risk that drives superior results.

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

The Role

The Data Analytics Analyst coordinates requests for data analytics and risk management information systems needs from Willis Towers Watson North America (WNA) and acts as the contact point for WNA stakeholders to discuss and agree to their specific requirements or scope of services. Complete accurately and timely the requirements/scope of services agreed upon. Finally, deliver the outputs to the stakeholders and manage the ongoing relationship with them for subsequent reports.

Responsibilities:

Skills/Qualifications:

EOE, including disability/vets

Follow this link:

Data Analytics Analyst-Risk at Willis Towers Watson - Insurance Journal

Lifesciences Data Mining and Visualization Market: North America to Account for Largest Revenues in the Market Forecast 2017 to 2026 The Courier -…

Written by admin on May 30, 2021 — Leave a Comment

The Growth of Lifesciences Data Mining and Visualization market is huge. The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data and statistically supported and industry-validated market data. It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, application and industry

To remain ahead of your competitors, request for a sample https://www.factmr.com/connectus/sample?flag=S&rep_id=459

The global healthcare data mining & visualizationmarket has been slated to reflect a spectacular rise between the forecast period 2017 and 2026. The market has been estimated to surpass US$ 6,000 Mn in revenues by 2026-end.

Companies Leveraging Lifesciences Data Visualization to Make Improvements in their Facilities

With the business of lifesciences witnessing continuous evolution, optimizing effectiveness of decisions related to capital investment is gaining paramount importance within the industries. The decisions apropos to facility function & location are indispensable, mainly because proximity to services plays pivotal role. Lifescience data visualization has therefore been gaining huge momentum along with its provision of the application-specific data and infographics.

For critical insights on this market, request for methodology here https://www.factmr.com/connectus/sample?flag=RM&rep_id=459

Lifescience data visualization facilitates better understanding of complex datas graphical representation, which has led companies to capitalize on the technology with an aim to make improvements in their facilities. A popular trend witnessed in the market is increasing importance of sharing lifescience data visualization in a bid to enable discerning of results in a format that is easy to understand.

Data mining is intensively & extensively being utilized by several lifesciences organizations, and is gaining immense popularity in the industry, although the degree of essentiality has been moderate. The data mining applications significantly benefit the lifesciences companies, for example, these organizations can make correct decisions associated with customer relationship management, thereby enabling physicians in identifying best practices as well as effective treatment options. Patients are provided with affordable & improved healthcare services.

Huge amount of highly complex data created by transactions apropos to the lifesciences industry entails challenges such as processing and analyzing the voluminous data by using traditional methods. However, with the help of methodology and technology of data mining, the process of transforming this complex data into a useful intelligence is facilitated.

Key Future Projections of Lifescience Data Mining and Visualization Market for Forecast Period 2017-2026

Bitcoin mining difficulty decreases by 16% from its recent all-time-high – The Block Crypto

Written by admin on May 30, 2021 — Leave a Comment

Bitcoin's mining difficulty saw a notable decrease around Sunday midnight UTC time as the network's hash rate has dropped significantly even before China's bitcoin mining crackdown comment.

On-chain data shows the network's mining difficulty adjusted to 21.05 Trillion at block height 685,440, which is a 16% drop compared to its recent all-time-high recorded on May 13.

In fact, Bitcoin's average block production interval already increased to 11.8 minutes between May 13, the last mining difficulty adjustment date, and May 21, when China's State Council iterated in a recent meeting that there needs to be a crackdown on bitcoin mining and trading activities in China.

That interval was 18% faster than the Bitcoin network's intended 10-minute-per-block production time, which also means the average hash rate between May 13 and 21 already dropped to around 147 exhashes per second (EH/s).

Following the China State Council's comment Friday last week, the seven-day moving average hash rate has remained relatively steady around the 150 EH/s level.

As reported previously, the computing power connected to Bitcoin has declined since May 13 due to a few factors.

While some miners had started the migration process from Northern Chinese provinces to the hydro-electricity hub in Sichuan, the power plants in Sichuan have been limiting the supply to energy-intense industries including mining farms due to the delay of the rain this year. As a result, there has been a surging electricity demand from the general public, which had to be prioritized.

It remains to be seen whether and how the Sichuan government will react to the State Council's high-level policy signal in terms of cracking down on bitcoin mining activities.

Different from its counterparts in Inner Mongolia, where the energy is mostly based on fossil fuel, the Sichuan government is hosting a seminar next week to understand what the impact of a simple ban would have on the local hydropower economy.

Meanwhile, some Chinese bitcoin miners are looking for energy capacities overseas to migrate their equipment out of China to hedge against regulatory uncertainties ahead.

View post:

Bitcoin mining difficulty decreases by 16% from its recent all-time-high - The Block Crypto

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare – Forbes

Written by admin on May 30, 2021 — Leave a Comment

Covid Pandemic

Leading Fortune 1000 companies have been organizing and analyzing their data to gain business insights for years.Traditional industries with a long history of capturing and managing their data, notably financial services, have decades of experience mining data to better service and grow their customer relationships and manage risk.During the past decade, as data volumes grew, and as new sources of data emerged, Big Data initiatives captured C-suite attention.Today, Fortune 1000 companies are managing exponentially greater volumes and sources of data, while leveraging emerging technology capabilities including machine learning and AI to gain ever more granular insights into market opportunities.Companies are leveraging computers to do the work that they once relied on humans to perform.

It is against this backdrop that the Covid-19 plague of 2020-2021 arose, with its consequent impact on how businesses continued to serve customer needs.Many companies moved quickly to leverage digital capabilities to enable remote customer interaction and service, while data emerged into an even greater light of importance, visibility, necessity and urgency.Public and private sector organizations operating in the public health and life sciences arena faced a new urgency to manage and report on data in a timely and accurate manner.Governmental agencies, healthcare providers, universities, and industry groups mobilized to analyze vast and disparate data from around the globe to understand the velocity of spread, infection rates, risk statistics and ultimately, the path to vaccination development, rollout and development of herd immunity.

For healthcare and life sciences companies, this new sense of urgency and information demand is shining a spotlight on data in ways that had not been previously encountered.Data that was previously nice to have quickly became urgent and essential.This increased data urgency is reflected in the findings of NewVantage Partners annual Big Data and AI executive survey, which was published earlier this year.The survey findings point to an industry sectorlife sciences and healthcarewhere data has gained new preeminence and criticality.While traditionally data mature industries like financial services focused on incremental advancement of their data processes and capabilities, healthcare and life sciences firms were forced to mobilize their resources to respond quickly to public health demands.As one state governor stated during the peak of the epidemic in the spring of 2020, We will rely on data, science, and facts to make our resource and planning decisions.

The survey of C-executives from leading healthcare and life sciences companies included established leaders such as Anthem Health, Bristol-Myers Squibb, Cigna, CVS Health, Eli Lilly, Glaxo Smith Kline, Humana, Merck, Pfizer, Sanofi, and United Health, as well as emerging entrants like Cerevel.The findings dramatize the extent to which firms in the healthcare and life sciences were more aggressive, more optimistic and more successful in achieving data-driven business outcomes than their peers in other industry sectors during 2020.For example, while only 17.9% of financial services companies reported that they had created a data-driven organization, more than twice as many40.9%healthcare and life sciences firms reported having achieved this milestone.

The urgent embrace of data is reflected in other findings as well.While only 38.8% of financial services firms report that they are managing data as a critical business asset of their organization, a startling 57.1% of healthcare and life sciences firms report having achieved this outcome.These numbers are consistent down the line66.7% of health and life sciences firms report driving innovation with data, versus 46.3% in financial services; and 45.5% of health and life science firms report having achieved transformational business outcomes, compared with 22.4% in financial services.

This commitment to data-driven healthcare and life sciences is further reflected in investment levelswith 50% of life science firms reporting increased investment in data, compared to 22.4% in financial services.Further, while only 40.3% of financial services firms characterized themselves as leaders in data and AI, 63.6% of life sciences and healthcare firms described themselves in this fashion.While 74.6% of financial services firms reported being focused on offensive initiatives, in contrast to defensive risk mitigation efforts, 100.0% of health and life sciences firms claimed to be on the offensive.

Further evidence of the commitment of life sciences companies to invest in Big Data and AI is confirmed by big pharmas investment of billions of dollars into mining anonymized patient records to aid drug discovery.These investments are being undertaken in the hope of expanding the patient universe which will benefit from existing medicines, while also discovering new drugs.Pfizer is among the leading pharmaceutical leaders that are combing data from randomized control trials, combined with additional data sources, to create Real World Evidence (RWE).The power of data to accelerate drug discovery and reduce research costs offers new hope to patients. Developing a new drug from bench to bedside can cost $2.6B and take up to 14 years according to data from the Tufts University Center of Drug Development.Scientists greater understanding of individual biology is driving a search for more personalized treatments that are driven by more and better data.Today, data is being drawn from electronic health records and curated to fit research objectives.

Rock Health, a US venture fund focusing on digital health, reports that $1.5B has been invested in AI or machine learning solutions that are targeted at the biopharma industry.Merck has invested $40M in TriNetX, a clinical data and analytics company, and Roivant Sciences has invested $40.5M in Datavant, which connects fragmented health data sets.RWE is being used to augment clinical trials where not enough data is available.Novartis CEO Vas Narasimhan has described his firm as a data science company.Novartis is looking to combine data from clinical trials with other information about patients, such as genetic make-up.Dr. Narasimhan notes, If you look at the tech companies they realized that actually the core asset for them is the data-mining of all of that experience.

The explosion of data, and data initiatives that are underway in the life sciences has the potential to reshape the future of the industry and of patient care.This embrace of data has been coming for some time now, but the worldwide Covid pandemic generated heightened awareness and new urgency.From the application of Real-World Evidence data to the capture and analysis of new sources of genomic and epidemiological data, medical records, and other data sources, the embrace of data-driven decision making in the life sciences is gaining new momentum.Gaurav Tripathi, CTO of Innoplexus, sums up the opportunity well, Data and machine learning will dramatically reduce the time to market for new therapies, reduce the time and investment required for targeting rare diseases, enable precise and more personalized medicines, and automate key processes that will improve efficiency by orders of magnitude. For companies and data professionals operating in the healthcare and life sciences arena, the coming years will surely be fast paced, and will likely be transformational.

Read this article:

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare - Forbes

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current – The Manomet…

Written by admin on May 30, 2021 — Leave a Comment

According to IMARC Groups latest report, titled Predictive Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026, Theglobal predictive analytics market reached a strong growth in 2020. Predictive analytics stands for a subset of advanced analytics that is designed to predict the likelihood of future events by observing historical and current data. It examines the data using several statistical techniques, such as Big Data, Machine Learning, Data Mining, etc. Predictive analytics offers numerous benefits in improving marketing campaigns, optimizing customer experiences, detecting frauds, reducing financial risks, enhancing business efficiency, etc.

Request for a PDF sample of this report:https://www.imarcgroup.com/predictive-analytics-market/requestsample

The emerging Industry 4.0 trend, along with the increasing penetration of industrial automation solutions, is primarily driving the global market for predictive analytics. Moreover, the rising adoption of predictive analytics for analyzing large volumes of data and high revenue-generating opportunities is also propelling the market growth. Additionally, the growing demand for robust business strategies and improved decision-making in real-time is further augmenting the demand for predictive analytics across numerous organizations. In the coming years, the escalating integration of predictive analytics with several advanced technologies, such as Data Mining, AI, Big Data, virtual reality, etc., will continue to drive the global market. Looking forward, the global predictive analytics market is expected to grow at a CAGR of 24.5% during the forecast period (2021-2026).

As the novel coronavirus (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the industry behaviors of the consumers globally and our estimates about the latest market trends and forecasts are being done after considering the impact of this pandemic.

Competitive Landscape with Key Players:

Market Segmentation:Breakup by Business Function:

Breakup by Solution:

Breakup by Service:

Breakup by Deployment:

Breakup by Organization Size:

Breakup by End Use Industry:

Breakup by Region:

Ask Analyst for Customization and Explore full report with TOC & List of Figures:https://www.imarcgroup.com/predictive-analytics-market

We are updating our reports, If you want latest primary and secondary data (2021-2026) with Cost Module, Business Strategy, Distribution Channel, etc. Click request free sample report, published report will be delivered to you in PDF format via email within 24 to 48 hours.

Key highlights of the report:

If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.

Related Reports by IMARC Group:

Test Preparation Market: https://www.imarcgroup.com/test-preparation-market

Carbon Footprint Management Market: https://www.imarcgroup.com/carbon-footprint-management-market

Software-Defined Anything Market: https://www.imarcgroup.com/software-defined-anything-market

Behavioral Biometrics Market: https://www.imarcgroup.com/behavioral-biometrics-market

Customer Self-Service Software Market: https://www.imarcgroup.com/customer-self-service-software-market

Web Hosting Services Market: https://www.imarcgroup.com/web-hosting-services-market

Gaming Simulators Market: https://www.imarcgroup.com/gaming-simulators-market

Fashion influencer marketing market: https://www.imarcgroup.com/fashion-influencer-marketing-market

Latin America OTT Platform Market: https://www.imarcgroup.com/latin-america-ott-platform-market

United States 3D Printing Market: https://www.imarcgroup.com/united-states-3d-printing-market

About Us

IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.

IMARCs information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the companys expertise.

IMARC Group

30 N Gould St Ste R

Sheridan, WY 82801 USA Wyoming

Email: Sales@imarcgroup.com

Tel No:(D) +91 120 433 0800

Americas: +1 631 791 1145 | Africa and Europe: +44-702-409-7331 | Asia: +91-120-433-0800, +91-120-433-0800

Original post:

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current - The Manomet...

The 10 Best Business Analytics Certifications Online for 2021 – Solutions Review

Written by admin on May 30, 2021 — Leave a Comment

The editors at Solutions Review have compiled this list of the best business analytics certifications online to consider acquiring.

Business analytics refers to the process by which organizations use statistical methods and software for analyzing data. Some of the key processes included data mining, predictive analytics and statistical analysis in order to transform and present data as a means to enhance decision-making. More data is available to businesses than ever before, which is why business analytics is a massively growing field. Modernbusiness analytics software toolslet users with little to no technical background pilot tools that can automate much of the process.

With this in mind, weve compiled this list of the best business analytics certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best business analytics certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Reviews personal take on each.

Platform: Coursera

Description: Over 8 courses, gain in-demand skills that prepare you for an entry-level job. Youll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. Youll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya.

Platform: Coursera

Description: This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need to work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language.

Platform: Coursera

Description: Learn the foundational skills required for an entry-level data analyst role through this nine-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts. Youll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.

Platform: Coursera

Description: Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.

Platform: Coursera

Description: This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency. Data examples are general enough to be applicable to a broad range of subject areas.

Platform: edX

Description: This Professional Certificate program prepares students, working professionals, and decision-makers to become data literate in both their professional and personal lives. In todays data-driven world, data literacy will transform you into a data citizen, allowing you to communicate and make decisions based upon facts with confidence. You will emerge as a champion for a data literate culture.

Platform: Simplilearn

Description: This globally recognized Business Analyst Certification course is designed to train you on all three aspects of business analysis planning and monitoring, requirements elicitation, and requirements management and communication. Become job-ready by learning the latest tools, working on real-world projects, and attending Master Classes from IBM experts.

Platform: Simplilearn

Description: This Data Analyst Masters Program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst certification course, youll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

Platform: Udacity

Description: In this program, youll learn foundational data skills that apply across functions and industries. Youll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau. You will leave with practical skills that you can apply in any job. These skills are also a great foundation to a career in data analysis and data science.

Platform: Udacity

Description: Advance your programming skills and refine your ability to work with messy, complex datasets. Youll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, youll learn to use your data skills to tell a story with data.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

The 10 Best Business Analytics Certifications Online for 2021 - Solutions Review

Investors Who Worry About Bitcoin Should Remember These 3 Things – The Motley Fool

Written by admin on May 30, 2021 — Leave a Comment

With some cryptocurrencies down 40% or more from their recent highs, crypto investors may be nervous about what comes next. But despite the volatility, there are at least three good reasons forbitcoin (CRYPTO:BTC) investors to believe in the cryptocurrency's future.

To say bitcoin has been on a wild ride in the last year is an understatement. Just since May of last year, bitcoin rose from about $9,400 to over $64,000 by April 2021. Bitcoin's recent correction gained steam based on two key factors. Elon Musk seemed to back away from his support of bitcoin based on the idea that bitcoin mining uses a tremendous amount of power. This doesn't fit within Tesla's (NASDAQ: TSLA) eco-friendly stance. The second issue was China cracking down on the use of crypto as a form of payment.

Though bitcoin's price has been volatile, increased acceptance as an investable asset class seems to bode well for its future. Square (NYSE:SQ) was one of the first companies to help move bitcoin into the mainstream through its Cash App. In case there was any doubt about the popularity of bitcoin, Square's bitcoin business jumped 11-fold to more than $3.5 billion in the company's most recent quarter. The financial company has constantly referenced bitcoin engagement within the Cash App as one of its growth pillars.

Image source: Getty Images.

PayPal (NASDAQ:PYPL) isn't content to let Square corner bitcoin enthusiasts. The payments company wants customers to feel comfortable with crypto as a form of payment, ofering to "put the currency back into cryptocurrency." Many investors are still trying to learn about what crypto is and how it might fit their life. Though many companies allow investors to buy crypto, the are relatively few debit card or payment options, that allow people to spend crypto directly. PayPal is offering to automatically convert crypto to spendable currency to make payments wherever PayPal is accepted.

It's one thing for retail-focused companies to attract customers with bitcoin options. However, Goldman Sachs' head of digital assets, Mathew McDermott, said the investment firm's institutional clientshave moved beyond learning about crypto and are requesting access to it for their portfolios.

Wells Fargo (NYSE:WFC) wants into the bitcoin business as well. The bank will soon offer a professionally managed solution for clients involving cryptocurrency. John LaForge, the bank's head of real asset strategy said, "We think the cryptocurrency space has just kind of hit an evolution and maturation of its development that allows it now to be a viable investable asset."

There's a method to bitcoin mining's madness. A study from 2018 in Applied Economics Letters suggestsa theory behind the price of bitcoin: The value of a single bitcoin is correlated to the cost to mine that coin.

Given this backdrop, it makes sense to look at the costs that go into mining. One of the primary costs miners deal with is the graphics card(s), or ASIC miner(s), that generate most of the processing power. Graphics cards and ASIC miners are suffering from ongoing supply shortages. Theoretically, as the cost to acquire mining equipment increases, so should the price of bitcoin.

The largest supplier of bitcoin mining gear is Bitmain, which reportedly is soldout until at least August of this year. Where graphics cards are concerned, Nvidia (NASDAQ:NVDA) believes the GPU shortageis likely to continue through 2021. Due to supply shortages, it's a regular occurrence for scalpers to buy and then resell mining equipment with a significant markup.

Investors should note that bitcoin mining is also limited to one block every 10 minutes, so miners can't speed up production to churn out more coins. With high demand, set production, and increased costs to acquire mining equipment, bitcoin's price should rise as long as these trends continue. The challenge with these trends is scarcity driving costs up also means driving out less capitalized competition. According to Fitch Solutions, a data analytics firm, the chip shortage affecting miners could last at least until 2023.

Investorsare beginning to speculate that bitcoin could follow Ethereum (CRYPTO: ETH) in moving from proof-of-work (mining), to proof-of-stake (holding). One of the central issues being debated publicly is the massive electricity cost of running a proof-of-work system like bitcoin. However, there are several reasons to believe bitcoin may not need to follow Ethereum down the proof-of-stake road.

First, Ethereum's moving to proof-of-stake because of the vast number of applications trying to run on the current network. A proof-of-stake network, which requires far less computing power to verify transactions, can help Ethereum's network expand and become more efficient.

Second, the bitcoin network has been developing a lightning network since 2015.Think of it as an access road that connects to the bitcoin highway, but also runs parallel. In bitcoin's traditional network, each new transaction is linked and reaffirmed with all of the other data on the network. Using the lightning network, two parties can essentially send and receive between each other multiple times without including the main network in every single transaction. This way, bitcoin transactions can fork off the main road and create many smaller transaction sideroads that don't have to clog up the main network. As new lightning-supported crypto wallets become more prevalent, the bitcoin network should be faster and theoretically cheaper to use.

Lastly, bitcoin's limited supply argues investors should favor holding the coin as a scarce asset. Unlike bitcoin, Ethereum doesn't have a hard cap on its supply overall, which means it can much more easily pay interest to stakeholders by giving them more ETH. Bitcoin's hard cap of 21 million total coins means that at some point, stakeholders would no longer be able to generate additional interest in bitcoins, because the cap would have been reached.

Bitcoin investors can also draw encouragement from the similarities between bitcoin and gold. Gold holds value not only from its relative scarcity, but also because it requires work and time to mine the metal. There are an estimated 190,000 tons of gold above ground. Each year, roughly 2,500 to 3,000 tons of new gold is mined. Given the costs and limitations of profitable mining, statistical research suggests that large-scale gold mining won't continue much past 2075.

Bitcoin's future supply sounds similar to its real metal counterpart. The crypto equivalent of gold has a circulating supply of about 18.7 million coins. By design, Bitcoin sets its maximum supply at about 21 million coins. Bitcoin mining generates a block every 10 minutes worth 6.25 bitcoins. Blocks are reduced by 50% automaticallyevery 210,000 blocks, or roughly every 4 years, which reduces bitcoin's inflation rate. With these calculations, investors know the final bitcoin should be mined around 2140.

Even Sylvia Carrasco, CEO of gold exchange Goldex, finds similarities between gold and bitcoin. In a questionnaire by Markets Insider in February 2021, Carrasco was asked if she would rather hold gold or bitcoin over the next ten years. She noted, "Bitcoin and gold both have significant advantages over fiat currencies because neither can be diluted or debased."

While bitcoin is certainly more volatile than gold or many stocks, its returns significantly outperformed these other assets over the last two years in particular.

Asset

6 Months

1 Year

2 Years

Gold

0.4%

11.5%

45.54%

S&P 500

11.7%

40.3%

53.47%

Bitcoin

31.8%

321.7%

342.79%

Data source: Yahoo Finance.

Investors can't afford to ignore an asset that has outperformed others by this margin. Bitcoin seems to get a new stamp of approval from different companies on a regular basis. The squeeze on supplies of efficient mining equipment increases the cost to produce the coin. As bitcoin moves toward mainstream adoption, gold and crypto seem ever more similar.

After the recent crypto correction, Bitcoin trades at a nearly 40% discount to its 52-week high. Investors looking for confidence in bitcoin's future can watch for future expansions of bitcoin into more mainstream financial transactions. In late May 2021, PayPal announced it would now allow users to transfer bitcoin outside of PayPal's internal crypto wallet for the first time. This will allow users to freely move their bitcoin to other sites for trading, or to make payments to their friends directly with crypto instead of having to convert their crypto to cash first.

When it comes to tracking the mining side of the equation, investors can keep up with Nvidia as a way to track how supplies are moving. As long as Nvidia's supply is constrained, there is a decent chance that mining costs are up, which would seem to support bitcoin's price. But investors should remember that bitcoin is closer to the crypto world's version of gold, not the dollar. While it's important that bitcoin be usable, the fact that institutions and individuals want to hold bitcoin in their portfolios is another factor to watch. Those worried about having missed the big move in bitcoin may be getting another chance with the recent correction.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

Go here to read the rest:

Investors Who Worry About Bitcoin Should Remember These 3 Things - The Motley Fool

Henry Schein One Acquires Majority Interest in Jarvis Analytics – Business Wire

Written by admin on May 30, 2021 — Leave a Comment

MELVILLE, N.Y.--(BUSINESS WIRE)--Henry Schein One, a subsidiary of Henry Schein, Inc. (Nasdaq: HSIC), announced today that it has acquired an 80% ownership position in Jarvis Analytics, a software company that develops comprehensive business analytics tools to help dental practitioners and their teams use data to diagnose problems, strengthen decision-making, and improve business performance.

Dallas-based Jarvis Analytics was founded by Steven Maroulis in 2017. Maroulis will continue to manage Jarvis Analytics and lead the Henry Schein One Dental Analytics business as Executive Director. The expected 2021 financial results from Jarvis Analytics are immaterial to Henry Schein One. The acquisition will be neutral to Henry Scheins 2021 earnings per share and accretive thereafter. Additional financial terms were not disclosed.

This partnership further demonstrates our commitment to offer the latest advances in technology through Henry Schein One, making it possible for dental practices to improve nearly every aspect of their business management, said Stanley M. Bergman, Chairman of the Board and Chief Executive Officer of Henry Schein. We look forward to a strong partnership with Jarvis that will enable dental teams to use data more effectively to build a better business.

Dental practices have tremendous amounts of data stored in practice management systems, such as Henry Scheins market-leading Dentrix, Dentrix Ascend, and Dentrix Enterprise, as well as systems for patient relationship management, finance, marketing, and more. Unfortunately, many dental practices do not yet consolidate and analyze this disparate data. Jarvis simplifies the collection of data from multiple sources and organizes it so the information can be presented in real-time reports, dashboards, and other methods. Jarvis analytics tools can also help identify the impact positive changes may have on projected revenue, including hygiene recall, patient retention, case acceptance, and collection.

Data mining is the new vehicle for accelerating dental business growth. Dental practices that know how to use dental analytics to analyze their data can see what has happened, what is happening, and make informed decisions about the changes they should make to improve performance, said Mike Baird, Chief Executive Officer of Henry Schein One. The addition of Jarvis Analytics means dental teams will benefit by having a trusted partner with the size and expertise of Henry Schein One to enhance and support their dental analytics solutions. With these insights, practices owners and dental management teams can make better decisions to improve efficiency, increase revenue, and maintain clinical excellence.

Jarvis Analytics will continue to be practice management system agnostic, working with more than 10 practice management systems, including Dentrix, Dentrix Ascend, and Dentrix Enterprise. The analytics tools offered by Jarvis Analytics will eventually become integrated into select Henry Schein One practice management systems, making it possible to deliver one digital workflow that simplifies management while improving business performance.

From day one, our vision has been to help dental practitioners turn practice management data into powerful insights, said Mr. Maroulis. Our customers recognize the value of data analytics and have chosen to embed it into every layer of their business to drive operational efficiencies and growth. Were excited for the future and look forward to the critical role Jarvis will undertake to help Henry Schein One become the leader in dental analytics solutions for dental businesses of any size.

About Henry Schein OneHenry Schein One, a subsidiary of Henry Schein, Inc. established in partnership with Internet Brands in 2018, is a software company providing integrated software and services to the dental industry. Headquartered in American Fork, Utah, the company offers market-leading solutions for dental practices, including Dentrix, Dentrix Ascend, Dentrix Enterprise, Easy Dental, TechCentral, Demandforce, Sesame Communications, Lighthouse360, Officite, and DentalPlans.com as well as solutions offered through international companies, including Software of Excellence, Logiciel Julie, InfoMed, axiUm, and LabNet, among others. For more information, visit http://www.henryscheinone.com.

About Henry Schein, Inc.Henry Schein, Inc. (Nasdaq: HSIC) is a solutions company for health care professionals powered by a network of people and technology. With more than 20,000 Team Schein Members worldwide, the Company's network of trusted advisors provides more than 1 million customers globally with more than 300 valued solutions that help improve operational success and clinical outcomes. Our Business, Clinical, Technology, and Supply Chain solutions help office-based dental and medical practitioners work more efficiently so they can provide quality care more effectively. These solutions also support dental laboratories, government and institutional health care clinics, as well as other alternate care sites.

Henry Schein operates through a centralized and automated distribution network, with a selection of more than 120,000 branded products and Henry Schein private-brand products in stock, as well as more than 180,000 additional products available as special-order items.

A FORTUNE 500 Company and a member of the S&P 500 index, Henry Schein is headquartered in Melville, N.Y., and has operations or affiliates in 31 countries and territories. The Company's sales reached $10.1 billion in 2020, and have grown at a compound annual rate of approximately 12 percent since Henry Schein became a public company in 1995.

For more information, visit Henry Schein at http://www.henryschein.com, Facebook.com/HenrySchein, and @HenrySchein on Twitter.

Cautionary Note Regarding Forward-Looking Statements

In accordance with the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995, we provide the following cautionary remarks regarding important factors that, among others, could cause future results to differ materially from the forward-looking statements, expectations and assumptions expressed or implied herein. All forward-looking statements made by us are subject to risks and uncertainties and are not guarantees of future performance. These forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause our actual results, performance and achievements or industry results to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. These statements are generally identified by the use of such terms as may, could, expect, intend, believe, plan, estimate, forecast, project, anticipate, to be, to make or other comparable terms. Factors that could cause or contribute to such differences include, but are not limited to, those discussed in the documents we file with the Securities and Exchange Commission (SEC), including our Annual Report on Form 10-K. Forward looking statements include the overall impact of the Novel Coronavirus Disease 2019 (COVID-19) on the Company, its results of operations, liquidity, and financial condition (including any estimates of the impact on these items), the rate and consistency with which dental and other practices resume or maintain normal operations in the United States and internationally, expectations regarding personal protective equipment (PPE) and COVID-19 related product sales and inventory levels and whether additional resurgences of the virus will adversely impact the resumption of normal operations, the impact of restructuring programs as well as of any future acquisitions, and more generally current expectations regarding performance in current and future periods. Forward looking statements also include the (i) ability of the Company to make additional testing available, the nature of those tests and the number of tests intended to be made available and the timing for availability, the nature of the target market, as well as the efficacy or relative efficacy of the test results given that the test efficacy has not been, or will not have been, independently verified under normal FDA procedures and (ii) potential for the Company to distribute the COVID-19 vaccines and ancillary supplies.

Risk factors and uncertainties that could cause actual results to differ materially from current and historical results include, but are not limited to: risks associated with COVID-19, as well as other disease outbreaks, epidemics, pandemics, or similar wide spread public health concerns and other natural disasters or acts of terrorism; our dependence on third parties for the manufacture and supply of our products; our ability to develop or acquire and maintain and protect new products (particularly technology products) and technologies that achieve market acceptance with acceptable margins; transitional challenges associated with acquisitions, dispositions and joint ventures, including the failure to achieve anticipated synergies/benefits; financial and tax risks associated with acquisitions, dispositions and joint ventures; certain provisions in our governing documents that may discourage third-party acquisitions of us; effects of a highly competitive (including, without limitation, competition from third-party online commerce sites) and consolidating market; the potential repeal or judicial prohibition on implementation of the Affordable Care Act; changes in the health care industry; risks from expansion of customer purchasing power and multi-tiered costing structures; increases in shipping costs for our products or other service issues with our third-party shippers; general global macro-economic and political conditions, including international trade agreements and potential trade barriers; failure to comply with existing and future regulatory requirements; risks associated with the EU Medical Device Regulation; failure to comply with laws and regulations relating to health care fraud or other laws and regulations; failure to comply with laws and regulations relating to the confidentiality of sensitive personal information or standards in electronic health records or transmissions; changes in tax legislation; litigation risks; new or unanticipated litigation developments and the status of litigation matters; cyberattacks or other privacy or data security breaches; risks associated with our global operations; our dependence on our senior management, as well as employee hiring and retention; and disruptions in financial markets. The order in which these factors appear should not be construed to indicate their relative importance or priority.

We caution that these factors may not be exhaustive and that many of these factors are beyond our ability to control or predict. Accordingly, any forward-looking statements contained herein should not be relied upon as a prediction of actual results. We undertake no duty and have no obligation to update forward-looking statements.

Cloud Hosting

Category Archives: Data Mining

Jeep Bets Detroit’s First New Plant in 30 Years Will Address Decades of Customer Complaints – Newsweek

Data Analytics Analyst-Risk at Willis Towers Watson – Insurance Journal

Lifesciences Data Mining and Visualization Market: North America to Account for Largest Revenues in the Market Forecast 2017 to 2026 The Courier -…

Bitcoin mining difficulty decreases by 16% from its recent all-time-high – The Block Crypto

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare – Forbes

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current – The Manomet…

The 10 Best Business Analytics Certifications Online for 2021 – Solutions Review

Top AI Jobs on LinkedIn to Apply in 2021 – Analytics Insight

Investors Who Worry About Bitcoin Should Remember These 3 Things – The Motley Fool

Henry Schein One Acquires Majority Interest in Jarvis Analytics – Business Wire

Recent Posts

Categories

Archives

Media Sites

Pages

Site admin