10 Signs Your Business Has Data Management Issues

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Data management problems

A company that has data management issues will encounter endless signals which will manifest as problems or recurring difficulties in countless everyday or more specific aspects, but in any case detrimental to the proper functioning of the business. It should not surprise us that without proper data management, it is absolutely impossible to turn them into reliable information both for basic operational use and for strategic decision-making.

In the same way that a well-designed and implemented data management policy helps the company in countless ways that will lead to competitive advantages, its absence, a poor approach or bad habits they can lead to the opposite effect, and end up undermining their competitiveness and even their existence.

Indeed, the outlook faced by a company with poor quality data and poor management is very different from that of another company that takes a professional approach, an effort that is worth highlighting, since it will receive benefits that will make a difference in today's highly competitive environment, as the following:

  • make strategic decisions.

  • more economic benefits.

  • cost reduction in different areas.

  • efficiency in marketing.

  • efficiency in operational processes.

  • improving other intangible assets (status, etc.).

Conversely, we will be facing a complicated situation, that will require urgent action, when a company observes one or more of the 10 problems which we present below:

  1. Poor quality data or low-quality data: inaccurate, unrelated, duplicates, wrong, outdated …
  2. We found that inventory is out of stock or overstocked.
  3. Mail waste due to incorrect addresses.
  4. Billing errors.
  5. Loss of revenue due to missed opportunities.
  6. Ineffective master data management that prevents a single view.
  7. Increase in the amount and diversity of data.
  8. Penalties for regulatory non-compliance.
  9. Lack of IT investment to handle big data.
  10. Unable to turn that data into business intelligence.

Solving this type of situation requires the design of data management policies that, without considering the choice of one technology or another, addresses the problem generally, involucrando a todas las áreas de la compañía.

La implementación de un plan de acción, sin tener en cuenta las particularidades que aconsejen una cosa u otra, a almacén de datos maestro gestionado automáticamente y coherente. A medida que estos datos maestros aumenten en número y complejidad, se diseñarán diferentes soluciones para responder a las nuevas demandas.

Poner fin a los problemas de administración de datos, Besides, necesita un marco de acción global que persiga un estrategia de interés dependiendo de la compañía de que se trate, y que deben establecerse en base a estándares de calidad predeterminados. Su posterior mantenimiento, of course, necesita un procedimiento de validez constante de los registros con miras a un objetivo final que, therefore, it will be obtaining and using the information to gain strategic advantages.

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