Smarten

NOVEMBER 22, 2017

The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? How Can Advanced Analytics Advance Your Organization?

Analytics 40

Analytics IT Business Intelligence Visualization 40

Cloudera

SEPTEMBER 10, 2021

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

Machine Learning 69

Machine Learning Statistics Data-driven Big Data 69

Sisense

JANUARY 14, 2021

For analytics teams, trust is hard to gain and easy to lose. The team at Billie was willing to do whatever it took to make sure users had high-quality reports they could trust. The solution was to build a new tool to keep errors out of user reports and deliver insights that every customer could trust.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Smarten

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions. How Can Citizen Analysts Improve Your Organization?

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

Smart Data Collective

FEBRUARY 17, 2021

In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. Big data has had a tremendous affect on the healthcare sector. By the year 2025, that figure is projected to grow to $67.82

Big Data 71

Big Data Software Marketing Snapshot 71

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. © Scott Adams (2017) – dilbert.com. In 2017, a survey estimated that 68 percent of American offices had low or no separation between workers. Source: Google Trends.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Recently the World Economic Forum published “ The Future of Jobs Report 2018.” In particular, note “Exhibit 6:”.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Can SSDP Truly Make Analytics Self-Serve? What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 40

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion in 2017 to $190.61 Artificial Intelligence (AI). Regarding the future growth of AI, it is undeniable.

Technology 279

Technology Internet of Things IT IoT 279

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

MARCH 23, 2023

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. But it is an amazing analytic engine.”

IT 271

IT Modeling Testing Risk 271

Domino Data Lab

AUGUST 8, 2019

Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Public Health Reports (2017-07-10). Data governance, for the win! machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 11, 2017

If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Occam's Razor

JULY 13, 2017

By design none of them from the world of digital analytics, though I’ll stay connected to that world from a how could you use this idea perspective. The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. Good reporting.

Visualization 124

Visualization Strategy Interactive Statistics 124