Catapult BI

Enterprise Information Management

EIM is optimisation, storage and processing of data that is existing in the enterprise. The framework ensures to preserve this business asset and utilize to its full potential, by increasing efficiency, quality and integration of data. Catapult BI believes that Data accumulation alone is not sufficient to be on top of the game, management is crucial. Hence, we come into play and help you shape your utilization skills. Contact us to find more about your business needs and management

Infrastructure and Data Strategy

Strategy is a set of decisions that help chart a high course of action to achieve higher goals, mentions DAMA DMBOK. Catapult BI implements the Data Strategy framework in a way that-

  •  It ensures understanding of data needs inherent in business strategy
  •  Know what data does the organisation needs
  •  How that data is to be extracted
  •  How it is managed to ensure reliability, and
  •  How it is utilised

These key points are the fundamentals to designing Data Strategy for respective organisation. 

Data Warehousing

Data warehousing describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a centralized integrated decision support database with related software programs. There are several methodologies that can be followed around Data Warehousing. Data Warehousing is mainly categorized into three primary types:

  1.  Enterprise Data Warehouse
  2. Operational Data Store and,
  3. Data Mart

Find which suits your business with the help of our experts

Data Lakes

It is an environment where vast amount of data, data types and structures can be stored and analyzed. It is important to utilize the concept of Data Lakes, to ensure:

  • Analysis and mining friendly environment to achieve outcomes
  • Central storage for all kinds of data throughout the enterprise
  • Online archive for records that exist and,
  • To have a platform to ingest streaming data automatically by identifying the pattern

Learn more about its benefits and the best way to implement it in your business, with us


ETL stands for Extract, Transform and Load. It is central to all Data Integration areas, which can be executed Physically or virtually, in batch or in real time. It is generally carried out by first getting the Data from Data storage, staging it, modifying it as per requirements and then uploading it onto a new data storage, where it is meant to be shifted, also called Target Datastore.  However, some businesses may require it to be carried out as E-L-T instead, which enables the users to transform/change the data after it is loaded on the new data store. 

Catapult BI’s years of experience in the market has the capability to guide you through the process, implement it for you and also train accordingly. 

Data Staging and Reporting

The Data staging area is where the extraction, transformation and loading effort takes place. Most times, this data is transient, however persistent data still exists. Reporting is the key to convey standards, processes, guidelines and procedures. Catapult BI believes that the reporting strategy must address:

  • Security access to ensure authorization of sensitive data elements
  • Access mechanisms to describe user interaction, report, examine or view the data
  • Potential use of visualization capabilities for graphical output and,
  • Trade-off’s between timeliness and performance.

With the help of our experts at Catapult BI, we enable businesses frame better progression for this transitional process.   

Data Marts, Cubes and Other Information Assets

Catapult BI helps the enterprises to identify the assets from where the information can be extracted, stored and used to achieve analytical outputs, required for the business growth and progression. This is done in various forms of data clusters- be it Data Marts, Cubes, Strategies, etcetera. 

Reach out to us to find understand more about it.