BI Consultant in Saudi Arabia helps you to understand the differences between Data Analytics and BI

4 years ago

Request Free Demo

Email: sales@bilytica.eu

In the last two decades, many organizations have added business intelligence features to their repertoire, focusing their efforts on the dashboard, managing reports, and discovering data.

Differences between Data Analytics and BI

Business Intelligence		Data Analytics
Support decision making	Prime purpose	Convert and Cleanse raw data
looking backward	Perspective	Looking forward
What happened?	Types of questions	What will happen?
Warehoused, structured	Data	Real-time, mostly unstructured
CEOs, CFOs, CIOs	Typical Users	Data scientists, IT pros
Unlimited	Scope	Specific issue or question
Monitoring Dashboards KPI reports	Methods	Data mining and text mining Simulations Quantitative analysis

On the other end of the spectrum, data analytics, which allows users to convert unstructured or raw data into a comprehensive format. The converted details are used to purge, transform, or design data to support decision-making, derive conclusions, and BI Consultant in Saudi Arabia develop predictive analyzes. Most organizations now treat data analytics as a common or standard practice, according to their business requirements.

Implementation

Data analysis is usually performed in case the company is fairly new and requires significant changes in its business model. Microstrategy Consultant in Saudi Arabia Data analytics help business users analyze historical and current data, predict future trends, and change the proposed business model to the best.

BI Consultant in Saudi Arabia helps you to understand the differences between Data Analytics and BI

On the other hand, business intelligence is applied in situations where the company does not need to change its current business model and its sole focus is to achieve organizational goals. Business Intelligence helps users know where gaps exist when it comes to data management and resolution by providing effective decision-making scenarios.

Situational Usages

A key feature of data analysis and business intelligence is reporting. However, reports vary depending on the type of work scenarios and business Teradata Consultant in Saudi Arabia. If you see some business scenarios where the customer must handle daily trends in the market and create specific reports, the best option is to analyze the data. As you can see this process, companies should predict future data trends based on previous details.

But if a circumstance arises where the customer must deal with the data collected in the data repository and report projects by accessing the same data from the repository, business intelligence is more accurate. Business intelligence is also logical as the company needs to organize data or track sales delivery targeted to sales intelligence.