Data integration: Are we really doing it right?

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When we manage and administer data, are we really working well in its analysis and integration?

Why Big Data and BI projects fail?
Although the vast majority of companies in the world do not doubt that data integration has become one of the greatest assets of modern organizations , many of them still do not apply data-driven strategies and practices.

However, even when they do, Big Data and Business Intelligence projects do not always work. In fact, according to data collected by Gartner, around 70 to 80% of projects fail for a variety of reasons.

A very common problem that often arises is the difficulty in poland phone number lead designing and coding the processes that move the data . When this is achieved, it takes a really long time to implement, which leads to the loss of great business opportunities and information that could be valuable if acquired in a shorter time.

Successful data integration: the added value of Qlik Data Integration
Data integration offered by platforms such as Qlik Data Integration (QDI) allows companies to move data and take better advantage of those movements , reacting in a timely and cost-effective manner.

For example, a company with an online purchasing system can immediately visualize stock shortages and replenish products in real time, avoiding significant sales losses and satisfying its customers' experience.

As organizations modernize their analytics environments to drive digital transformation, they are taking an approach of aligning IT and business around a modern data strategy and architecture.

Qlik's data integration platform accelerates the discovery and availability of analysis-ready data by automating the flow of information from multiple systems to a wide variety of destinations, including the cloud or a data warehouse.

It achieves data refinement, cataloging, and publishing in real time because it is based on cutting-edge technological assets and adapts to a wide range of technologies where they are necessary to complement the work of Qlik Data Integration.

It also promotes greater agility throughout the analytics process through automated data pipelines that stream from transactional systems, data warehouses, or data lakes to create actionable data on demand.

In this way, the data is integrated and ready for analysis through an easy and understandable visualization for any company employee, who will see the information reflected clearly and in real time.

Success stories in data integration
Below are three success stories from implementing Qlik's data integration platform . Thanks to it, these companies were able to move their data and understand the purpose of these movements, which allowed them to take full advantage of QDI opportunities.

Retail industry
The biggest challenge was to achieve the speed of data transfer to the cloud from an SAP system. In addition, the transactional system suffered greatly in performance every time data was extracted.

The solution was to implement real-time data tools that take what users really need, with minimal impact on the transactional system.

The result was a substantial improvement in transfer times, a reduction in the impact on source systems and the addition of new sources in the migration to the cloud.

Cement industry
The company had significant limitations in extracting data from SAP, resulting in delayed responses for the business.

To solve this problem, a real-time solution was implemented to access the data required by users, providing more user-friendly and measurable availability.