Data Integration Prescriptive Analytics Statistics Visualization 
CIO Business Intelligence
JUNE 7, 2022
It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.
datapine
NOVEMBER 27, 2019
Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
NOVEMBER 24, 2020
The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. Unique feature: custom visualizations to fit your business needs better. Advantage: unpaired control over data. .
Birst BI
OCTOBER 30, 2018
The foundation of predictive analytics is based on probabilities. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. Create the reports & dashboards needed to visualize the predictions.
Jet Global
MAY 1, 2023
This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.
Expert insights. Personalized for you.
123 
Let's personalize your content