Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Their findings include: Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Smarten

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. ’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools. What is SSDP? Self-Serve Data Prep in Action.

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

NOVEMBER 19, 2018

Predictive analytics can help a business understand the buying behavior of its customers and prospects and plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists and establish metrics and goals across the enterprise for uniform execution and understanding of business objectives.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smarten

AUGUST 9, 2017

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. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms.

Analytics 40

Analytics IT Statistics ROI 40

CIO Business Intelligence

MARCH 8, 2023

She left that position — and Austria — in 2017 to become the CIO for the Wisconsin Department of Natural Resources. But being a woman in professions where statistically women are underrepresented hasn’t been an issue for Wood. “I She took a position as a senior IT program manager, then global IT director and next delegate CIO.

IT 130

IT Consulting Insurance Technology 130

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. What is Advanced Analytics?

Analytics 40

Analytics IT Business Intelligence Visualization 40

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion in 2017 to $190.61 This IT buzzword was on everyone’s lips already in the last years, after it made history when in 2017, bitcoin increased its value from $1000 to roughly $20000 (20 times in one year!),

Technology 279

Technology Internet of Things IT IoT 279

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

AUGUST 8, 2019

There’s been a flurry of tech startups, open source frameworks, enterprise products, etc., Enterprise concerns regarding security, privacy, ethics, lineage, compliance, and so on, generally come to the fore only after models get deployed. The real fun begins once models get deployed in production. It’s a quick way to clear the room.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

JANUARY 25, 2021

Zero growth isn’t inappropriate for an established enterprise language, particularly one owned by a company that has mired the language in controversy. Our data shows that Chef and Puppet peaked in 2017, when Kubernetes started an almost exponential growth spurt, as Figure 4 shows. AI, Machine Learning, and Data.

Machine Learning 362

Machine Learning Software Testing Technology 362

Domino Data Lab

JANUARY 6, 2019

The program supports hands-on data science class sizes of more than 1,200 students based on JupyterHub , and this sets a bar for enterprise infrastructure. This is also the case for a large segment of enterprise which must take competition and security concerns seriously. Wes McKinney (2017). Aurélien Géron (2017).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

JULY 13, 2017

Let’s close with examples of work that you’ll normally include in your enterprise analytics efforts. Consider this, conversion rate could go up by a statistically significant percentage… While revenue actually goes down. Their Statistical Bulletin 2017 has a lovely collection of graphs and charts that we all use in some shape or form.

Visualization 124

Visualization Strategy Interactive Statistics 124