CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 127

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 127

datapine

AUGUST 14, 2019

Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting. As a matter of fact, Python was declared as the most popular language in 2018 , and it will surely grow in the future as well. The TIOBE index confirms that the popularity of Python is increasing.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

FEBRUARY 7, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Birst BI

MAY 29, 2018

These adoption rates include all the users of the BI system – administrators who manage the system, analysts who build reports, and business users who consume reports for better decision making. For example, it is not uncommon for a business user to ask more questions outside the scope of a delivered report.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

BizAcuity

MARCH 8, 2019

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment. Image Source: [link].

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20