CIO Business Intelligence

JULY 5, 2022

Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? Business analytics dashboard components.

Business Analytics 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

MAY 1, 2020

The research shows that organisations that invest in specialist technology for analytics, (tools for financial reporting tools, data visualisation, enterprise performance management, and predictive analytics), considerably outperform finance functions that rely on standard ERP reporting and spreadsheets.

Finance 78

Finance Analytics Forecasting Reporting 78

Smart Data Collective

OCTOBER 20, 2020

There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. The tool will collect, refine, and present the data into an easy to understand dashboard. You only need to define your goals and specify the data sources.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Smarten

MAY 18, 2022

Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018? Who sold the most fruit juice in Phoenix Az in Christmas of 2018? Enter question and the system will recognize and process information correcting for spelling errors, abbreviations and related words. Sample Phonetics-Based Question. Sample Abbreviation Question.

Data-driven 67

Data-driven Sales Metrics Testing 67

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

Smarten

AUGUST 23, 2022

How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? Context-driven NLP ‘understands’ and interprets the question and the user intention so, for example, if a user wants to find sales results for a product sold during the ‘Thanksgiving’ season, they do not have to know the date for a particular year or years.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76