How to accelerate the ROI of data lakes?

[seonajmulislam00]

We know that using real-time automation enables faster, better business insights. But it also boosts the ROI of data lakes . Find out how to achieve this.

Why accelerate the ROI of Data Lakes?
Accelerating the ROI of data lakes is part of the demands of a changing digital context in which a great multiplicity of technological innovations constantly emerge that seek to adapt to the market and commercial demands.

Changing the way data must be moved, stored, processed and analyzed has become essential for any company seeking profitability and competitiveness . In short, for anyone seeking to boost their business's ROI .

Today's companies know that they need to meet certain pakistan phone number lead objectives to respond to the dizzying pace of business and increasingly intense competition. These goals can be summarized as follows:

Real-time data that provides accurate, quality insights.
Data agility and scale across multiple sources, formats, and systems to deliver vast, actionable, and monetizable insights.
Machine learning and artificial intelligence to achieve large volumes of knowledge in real time and continuous transmission.
Flexibility to efficiently scale and adapt to changing and ever-growing data infrastructures.
These key points are built on the typical business imperatives of organizations, such as cost reduction, increased productivity, and faster speed to market.

Data lakes are powerful architectural constructions that emerged to help companies succeed in achieving these goals and adapt to this new, increasingly diverse and changing scenario.

Designed to efficiently and cost-effectively store and process the vast amount of massive data sets, data lakes are capable of providing organizations with the scalable platform they need to take advantage of all their information and facilitate data analytics and integration for all their collaborators.

Today, data lakes are more flexible, manageable and cost-effective thanks to the use of cloud platforms and the adoption of real-time processing.

The ROI of data lakes and current challenges
Despite considerable progress and investment in data lake architecture, challenges remain for many enterprises .

Organizations that have not upgraded have difficulty accessing and ingesting data from a wide variety of business sources, and processing data ready for analysis under AI, ML, and data science programs. They also have issues with data integrity and trust with rich metadata, as well as ease of access.

As a result of these difficulties, the ROI of data lakes fails to materialize.

Traditional integration processes are where the biggest hurdle lies, as they often result in erroneous data, integration and data trust issues, and even delays in gaining insights.

Qlik boosts the ROI of data lakes
Qlik's solution enables you to create data lakes by automating the entire data pipeline , from real-time ingestion to the creation and provisioning of analytics-ready data sets.