Data Consolidation

Data consolidation is the collection, combination, and storage of several types of data in a single location. It enables users to handle many forms of data from a single point of access and aids in the transformation of raw data into insights that drive better, faster decision-making. We specialise in data management and warehousing, and we utilise SQL extensively for storage, processing, and transfer. Various tools are utilised to extract or gather data throughout the consolidation process, and SQL is the major data preparation tool used for the essential transformations.

Technology we use to perform data consolidation

Data consolidation is often accomplished through the use of four layers of technology: data sources, an ETL (extract, transform, and load) data pipeline, a data warehouse destination, and business intelligence (BI) tools.

The tools we use include:

Asp.net

HTML, CSS, and JavaScript-based web framework for creating great websites and web applications. Real-time technologies such as Web Sockets and Web APIs can also be employed.

SQL Server Integration Studios (SSIS)

Platform for developing enterprise-class data integration and transformation applications. Copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data are all used to solve complicated business problems.

Application Programme Interface (API)

Software mediator that allows two applications to communicate with one another. An API is used every time you use an app like Facebook, send an instant message, or check the weather on your phone.

Microsoft Power Automate

Automates workflows between apps and services to synchronise files, get notifications, collect data, and other functions.

Microsoft Power
Bi / Power Query

Data connectivity and data preparation technology that allows end users to import and transform data from a variety of Microsoft applications, including Excel, Analysis Services, Dataverse, and others.

Key focus areas

Data consolidation consists of three major steps: extract, transform, and load (ETL). ETL is the process of replicating data from a source to a data warehouse in a data pipeline. The ETL data consolidation process can be completed in two ways:

1. Custom Software Integration

Hand-coding is a manual technique in which a data engineer creates a script to integrate data from many sources. This is time-consuming and requires a professional, yet it may be the best option for minor consolidation assignments with limited sources.

2. software applications

Software tools are the most often used way of data consolidation. These technologies can be local or cloud-based, do not require the use of a data engineer, and function quickly.
Our process consists of:

Why data consolidation is beneficial to you

The practice of placing all of an organisation’s data in one integrated location is known as data consolidation. To extract information from multiple forms and places, software or consulting services are required.
Among the advantages for your company are:

Management data is at your fingertips, all of your data in one location boosts productivity and efficiency, operating costs are lowered, easier to comply with data protection regulations and procedures, and you may design more focused ads with superior customer data.

Other benefits include serving as a single source of truth, improving input reliability and correctness, shortening reporting times and customisation, and serving as a rich foundation for future information dissemination.