There are 5 mistakes in data management that are very common in organizations. Check if you are making any of them and learn how to avoid them.
The most common mistakes that large companies make when managing their data are:
- Implementing data management without a clear objective.
- Driving the digitization of this process without giving space to internal cultural change.
- Not analyzing the information obtained
- Not taking care of data quality
- Isolated databases
In this article we tell you about the most frequent mistakes made by large companies when implementing Data Management. We also explain what impact they can have on your organization and how to avoid them. An article to reflect and rethink how to take advantage of your company’s most valuable resource: information.
1) Implementing Data Management without a clear objective
Data Management has been one of the aspects most impacted by the digital transformation of organizations. With the onset of the pandemic, companies faced the imperative of having all the information online for their employees to perform their work remotely, expedite customer inquiries through online customer service channels, issue account statements or perform procedures, among many other reasons.
However, a common mistake is to approach this transformation in data management as an isolated action and with the sole motivation that “it’s the right thing to do”.
We know that it is very important to manage the enormous amounts of information that come daily from our customers and internal processes, but it is also key to know what we are doing it for.
Being clear about the objectives of the organization will give a direction to our Data Management strategy and will help us to:
- Recognize the data that will be most relevant to achieve those goals.
- Give the repository the appropriate structure for the needs of our company.
Therefore, reflecting on the purpose of this action is vital to take advantage of all the benefits offered by the digital transformation of data management.
2) Digitizing data management without making room for cultural change
Another mistake when implementing Data Management is not considering the great cultural change that this requires within the company. Because we cannot ask our employees to learn how to manage data correctly from one day to the next.
Therefore, it is important to provide each team member with the knowledge (and tools) to know how to collect, search and analyze data efficiently.
How important will it be to develop this skill in our employees? As we mentioned earlier, companies receive large volumes of structured and unstructured data daily from the web, social networks, and third-party service companies, among others; this is Big Data. Therefore, with solutions such as those offered by Coldview, the stored data can be categorized and processed. So when our team knows how to search and interpret that information, it takes advantage of all the potential that Big Data has to offer to the organization, which can be summarized in: favoring better decision making and developing business strategies based on real and reliable data.
Undoubtedly, if we incorporate this change abruptly, we will only make our employees feel overloaded, without understanding the impact of their work. While we will also waste time (and money) without seeing results. Therefore, it is very important to give them the opportunity to adapt to the new processes and above all to do it in a staggered manner.
3) Not analyzing the data obtained
Do you already have a Data Management tool, but you do not analyze the resulting information to enhance your organization? Then you are making another mistake.
Analyzing the data obtained can have a profound impact on the performance of the organization, because:
- It contributes to making better decisions and in a strategic way: Based on reliable data and not on intuition, a strategy that will help the company to be more competitive in its field. By analyzing the data we will be able to know exactly which products/services have been more or less profitable.
- It provides an opportunity for improvement: For example, data can help us to highlight customer dissatisfaction with a product, service, or customer service channel. It also helps to detect processes that we can optimize or even reveal the need for a change in dynamics internally.
- It helps to predict what may happen: Likewise, the information obtained will help us to have a clearer horizon for the future, to stop acting reactively, and finally take action in anticipation of the facts.
Our company’s information has enormous potential and analyzing it will allow us to take full advantage of it.
4) Not managing data quality
Do you collect silos of files and records, but do not perform data quality control? This is another common mistake organizations often make.
In other words, if we take into account that data allows us to make strategic decisions for the company, neglecting its quality is a mistake that can cost us dearly. On the other hand, if the entire organization is aware of the importance of improving data capture, data checking, and processes, quality will be assured.
To this end, we can rely on tools that allow us to manage this aspect automatically. Such is the case of Coldview Docs, which helps to generate documents for mass distribution to customers with a high-quality standard and automatically.
5) Not integrating the database
Finally, many organizations make the mistake of structuring and analyzing data separately, thus missing out on valuable information.
To develop the full potential of our company’s data, the key is to unify the database and rely on interdepartmental collaboration. In this way, all areas cooperate to optimize and accelerate the response to the requirements of management, suppliers, and customers.
It is therefore very important that the software offers an integrated architecture and reliable security measures. For example, with Coldview ECM you can store and manage all of your organization’s documents in a simple, secure, and efficient centralized repository.
In conclusion, the secret lies in aligning Data Management with the organization’s objectives; driving digital transformation by providing space for internal cultural change; analyzing and taking care of data quality, and centralizing information.
Paying attention to these aspects will make it possible to take full advantage of the data we obtain through different channels.
Have you identified the reality of your organization in any of these points?
We would like to help you solve it. Contact us or send us a message and we will advise you on how to do it.
Have you identified the reality of your organization in any of these points?
We would like to help you solve it. Contact us or send us a message and we will advise you on how to do it.
