A robust Business Intelligence Architecture is a product of efforts taken to do all of the following

  • Collection of data irrespective of source
  • Data re-modelling in a Data Warehouse
  • Storage & retrieval of large of data with reference to Speed
  • Ease of Data analysis possibility as per need at right time
  • Visually appealing and ease of extracting information from data
  • Success Key- Finding right data at the right time for right people is the key to success.
  • Unstructured to Structured- Extracting relevant valuable information from data
  • Data to Decision- Up-to-date data helps in strategic decision making
  • Message trigger – Alarms can be triggered

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Dashboards

All of your data is shown visually on a dashboard
All of your data is shown visually on a dashboard. Although it has a wide range of applications, its main purpose is to present information quickly, like KPIs. All types of professions can use dashboards to track performance, generate reports, and set budgets and goals for upcoming tasks.

Predictive analytics

A subset of advanced analytics known as predictive analytics
A subset of advanced analytics known as predictive analytics uses historical data along with statistical modelling, data mining, and machine learning to create predictions about future outcomes. Predictive Analytics is beneficial in Security, risk reduction, operational efficiency and improved decision making.

OLAP

Large commercial databases are organised and supported OLAP
Large commercial databases are organised and supported by online analytical processing (OLAP), a technology. Applying aggregate calculations to massive volumes of data makes use of OLAP particularly well. Analytics and business intelligence situations, which involve a lot of reading, are ideal for OLAP systems.

Data Mining

Data Mining Companies employ data mining as a method to transform unstructured data
Companies employ data mining as a method to transform unstructured data into information that is useful. Businesses can learn more about their customers to create more successful marketing campaigns, boost sales, and cut expenses by employing software to seek for patterns in massive volumes of data

Data Drilling

Data drilling is a business intelligence
Data drilling is a business intelligence (BI) technique that offers many views of the data in reports, charts, and spreadsheets to assist businesses in their information analysis. It’s a straightforward strategy that is useful for identifying trends’ root causes.

ETL

The data integration process known as ETL, or extract, transform, and load, brings together
The data integration process known as ETL, or extract, transform, and load, brings together data from several data sources into a single, consistent data store that is then loaded into a data warehouse or other destination system. ETL processes data is a fashion that focuses on particular business intelligence requirements, such as monthly reporting and many more.