Data warehouses as a platform for decision making

Share on facebook
Share on twitter
Share on linkedin
Share on telegram
Share on whatsapp

Contents

As it is well known, data warehouses o data warehouses are designed to aid decision making. In reality, middle and senior managers need accurate information, reliable and relevant to help them make informed decisions based, not on intuition or mere experience, but in data that offer a more truthful vision, complete and clear in order to reduce uncertainty.

data warehouses

best designs

Compared to transactional databases, data warehouses enable extraction, the efficient processing and presentation of data to aid this analysis and correct decision making. Gone are those alternatives for transactional work that depended on databases that were not prepared for the analysis of information.

The decline in mass storage costs and the potential of big data processing have further underlined, in any case, a flexible data storage concept inherent in its own definition. Analysis for decision making, thus, is done through data warehouse, It's understood as designed platforms to this, depending on different needs of the organization.

Why should the goal of data warehouses be to facilitate complex queries?

Since the necessary information comes from various sources, both internal and external and, at the same time, the data can be of very different types (structured, semi-structured or unstructured, among others) and achieve a large volume, facilitate complex inquiries And doing it efficiently is one of the main functionalities of data warehouses..

Respond to increasingly demanding requirements as a consequence of these heterogeneous and disparate sources and, finally, respond to complex predictive models on equity issues, such as customer or market behavior, needs a constant adaptation to the new market trends in data storage.

almacenes de datos

Although historical analysis is used, the future of data warehouses in times of IoT (Internet of things) largely depends on its effective integration with a real-time analysis big data. The new requirements applicable to data houses have to do with the following aspects:

  • Ability to accommodate a wide variety of types, data formats and combinations.
  • Versatility when delivering information that responds to variable interests.
  • Opportunity to adjust the source data available to the platform.
  • Good storage capacity that does not neglect data quality control.

In sum, Building data warehouses adapted to the needs of each organization is key to extracting value from information. As a platform, will vary in your architecture and processes, always adjusting to the evolution of technologies if it is truly intended to have a ideal tool to boost and compete effectively.

Disregarding the singularities and innovations that characterize data warehouses over time, the goal will remain the same. Its evolution makes it possible to improve the result, it's true, but its end will always be promote the extraction of value from data. Currently yes, technologies offer us more possibilities than ever to obtain a comparative advantage that truly makes a difference in the current competitive environment. Not taking advantage of them will logically waste an invaluable analysis tool.

Image source: franky242 / FreeDigitalPhotos.net

Related Post:


Subscribe to our Newsletter

We will not send you SPAM mail. We hate it as much as you.