Data management supports decisions that improve business direction, but how do we know if we are implementing the correct tool? And how to select a platform that suits the specific needs of our business model? Let's see…
Efficacy in data management It has to do with multidimensional work, In other words, To achieve efficient results it is necessary to involve the different dimensions associated with the design and functionality of a specific data management platform.
Before obtaining new technology and immersing ourselves in the necessary configuration procedure to maximize its performance it is essential to pay attention and list a series of aspects so that in conclusion we can arrive at an optimal solution that responds to expectations and is not a standardized mechanism (from which later we cannot extract what is truly necessary).
It's about improving performance
As in so many other work tools that we use every day, the data management platform must be tailored to the needs of the business and the team, and not the other way around. The implementation must be agile and the type of information you provide us, specific to our sector. Therefore, transparency and Suitability is a critical requirement for any data management platform seeking to be effective.
Finding a good solution in data processing requires adaptation to the needs perceived by experts through the performance of a previous study which in several cases reveals requirements of which one is not always aware. In that first approach, a Detailed analysis that observes in detail commonly used procedures and, always looking for efficiency, study the way respond to needs raised in order to propose the best solution.
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"The 65% of small companies agree to invest in hardware, software and services; and the 16% optimistic about increasing IT budgets. Corporate awareness increases and specialists adapt to a context that needs an increasingly coordinated work ".
Source: Dell Technologies |
The tool that is proposed in conclusion, whose design will always ultimately depend on the policy established by the management, it should not only be adapted to the needs of the business; also must comply other essential requirements to achieve the desired efficiency, among them:
- Development type: When you get a data management tool, it is essential to select the free or commercial version, according to the available budget and the essential functionalities to assess the convenience of one or another alternative. We know that profitability is always sought, but this should be understood as the sum of the factors time, resources and economic cost.
- Scalability: a feature that will translate into adaptability and continuous growth thanks to a modular architecture, facilitating progressive implementation.
- Easy to use: usability that also requires specific training by staff to ensure proper use, performance and process optimization.
- Consistent data: Get quality data, timely and reliable, accessible when and where needed. The homogeneity of the data will allow the reports to be accurate and effective.
Today's data warehouse architecture integrates structured and unstructured data through processes that achieve unified databases at the corporate level. Its storage and treatment are indicated for very multiple uses, that can be operational, queries or data analysis, requiring different tools to be able to respond to these different requirements.
Cloud data management: Is it efficient to upload the data warehouse to the cloud?
Sometimes, the most reliable solutions can include real-time analytics, big data processing or virtualization projects. Although cloud computing does not need your exclusive use, the same goes for other technologies: enables adaptations or can take a back seat and act as a complement.
In the same way that a relational database can work with distributed processing systems as a Big Data solution, the Data warehouses can be in the cloud or used while occupying physical space.
Continue reading The future of the data warehouse is in the cloud
Once the problem has been solved and needs have been identified, Moving the data management platform to the cloud can be effective, even when several risks must be considered., such as those derived from the loss of control of the information or those that have to do with regulatory compliance in matters of information protection.
In terms of efficiency, would be smart take advantage of tools provided by the cloud to achieve a more effective analysis without needing to move data, but simply running virtual tools on the cluster. But to get to “ideal” it is necessary to know the alternatives.
From PowerData we make our experience available to accompany each client in their learning procedure and initial landing in new technologies.
