Data strategy is a plan that describes a way to use your data, which data to use, what technology you need, and how to organize yourself to get the most value out of this data, given your specific business objectives. We recommend following steps to prepare an effective strategy:
Business intelligence platforms are essential tools for analysts and managers who need to make quick and accurate decisions. Ida helps organisations implementing a Business Intelligence setup and recommends following steps:
Data Engineering is the field associated with analysis and tasks to get and store the data from other sources. Then, process those data and convert them into clean data used in further processes such as Data Visualisations, Business Analytics, Data Science solutions, etc. Data engineering team plays a crucial role in designing, operating, and supporting the increasingly complex environments that power modern data analytics.
We recommend following steps to achieve an efficient data engineering:
Once this is done, data may be stored in a central repository such as a data lake or data lakehouse.
The big data transformation has brought forth various types, and phases of data analysis. The key to organizations effectively utilizing Big Data, is by picking up the correct data which conveys knowledge, that enables organizations to gain a serious edge. There are four types of analytics available that are widely used in the data space.
The primary role of Application Engineering is to design and improve software by performing needed evaluations with clients to understand the unique goals of each project and then implement after careful assessment.
Understand what the client is trying to accomplish and make the best recommendation with significant experience in following areas: