CIO Business Intelligence
JUNE 7, 2022
To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).
Birst BI
OCTOBER 30, 2018
Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Today, the most common usage of business intelligence is for the production of descriptive analytics. .
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
FineReport
APRIL 26, 2023
The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.
datapine
MARCH 25, 2022
Asking the right business intelligence questions will lead you to better analytics. While using a business dashboard, all your information can be simplified into a single place, making the time for meaningful decisions much faster. BI dashboards , offer the possibility to filter the data all in one screen to extract deeper conclusions.
Sisense
JUNE 30, 2020
Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs.
Domino Data Lab
JUNE 2, 2019
If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Clearly in these situations, becoming model-driven addresses an existential risk and that’s the point Nick Elprin made in his keynote. Being model-driven is like using GPS.”. “If Because of compliance. Worse than flipping a coin!
Expert insights. Personalized for you.
127 
Let's personalize your content