Why every business should consider investing in data visualization services

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Businesses accumulate enormous amounts of data daily. However, interpreting this data can pose a challenge, especially when trying to pinpoint specific issues such as bottlenecks in a sales funnel. This problem often arises from the challenge of integrating data from various channels like customer relationships management (CRM) tools, project management tools, and more. A highly convenient solution in this case would be custom software development for data visualization. Let us now dive deeper into this particular aspect.

Understanding the solution: Data visualization services
Data visualization offers a straightforward solution to the complex issue of data management. It involves using a system that collects information from various sources, securely stores it, reducing reliance on a single source, and then presents it in a user-friendly format such as charts, diagrams, histograms, maps, timelines, etc. This simplifies data interpretation and provides insightful perspectives on business operations, helping decision-makers make informed strategies.

Unpacking the system: How data visualization services work

The data visualization service we provide at Eira Digital, IT operates on a structured, multi-stage process, there are several steps preceding the final chart on the screen. The overall system aims to allow easy interpretation of significant volumes of data, identify new opportunities, and implement an effective strategy for improved business decisions.

The picture below represents how the data is moving from collecting to presenting information on the screen in a graph.



Let’s now briefly explain the process:

  1. Collection and structuring of information

Data from various sources is gathered and structured in what is referred to as a "data lake". This is the initial stage where raw data begins its journey towards becoming an insightful visual representation.

  1. Transfer to the data warehouse

From the data lake, the structured information is transferred to a data warehouse. This step is crucial as it ensures that business continuity is maintained by reducing reliance on subscriptions to individual management sources.

  1. Storage of data

A primary function of the data warehouse is to provide secure storage for the amassed data. Here, the data is not just stored but also maintained over extended periods to allow for periodic analysis and long-term trend monitoring.

  1. Preparation for visualization

The final stage within the warehouse involves preparing the data fields for visualization. The data is transformed from complex, often hard-to-grasp datasets, into a format that can be easily understood when visualized.

  1. Insight generation

With the data now visually represented, patterns and trends become clear. For example, a drop in client correspondence after the second round of follow-up emails could be identified — a critical insight that could lead to a revision of your email script.

Are you ready to make the most of your data?


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