How to achieve a successful data migration in the event of a merger or acquisition?
Posted: Tue Jan 21, 2025 6:15 am
For data migration to be successful, there are some very important aspects to consider. Find out what the biggest challenges are and how to overcome them intelligently.
Data migration in the face of mergers or new acquisitions can be complex, but not impossible.
When a company merges with another or acquires new platforms or working methodologies, it faces a very common challenge in many modern organizations: data environments are dispersed and KPIs do not follow the same logic.
From a data migration perspective , this is crucial as unified environments ensure less complexity in the transfer of information, as well as making it more agile and efficient.
Challenges, mistakes and pitfalls in current data migration
It is essential to understand the impact on the entire data landscape from the outset of any migration, change or merger. This is why it is necessary to establish a comprehensive overview of the environment before embarking on a migration.
In addition, it is common for companies to employ costa rica phone number lead different ways of measuring, using and calculating data. This presents an additional challenge, since it is essential that everything has the same type of logic .
Other challenges associated with mergers and acquisitions include cultural and language differences : documents and software used are often presented in different languages, creating difficulties in understanding the data landscape.
Cultural differences can also be an obstacle when it comes to decision-making, leadership, ability to change, teamwork, among other capabilities that also affect the transfer of data.
Another challenge for organizations relates to the discovery of outdated or incorrect data during the migration process . To prevent this from happening, it is essential to map data environments to fully understand what elements will be affected by the migration and what will need to be changed to properly integrate into the new combined environment.
This also helps to maximize ROI : success lies in automating data mapping and employing an automated and up-to-date documentation process.
Key factors to consider in a successful data migration
For data migration to have effective results and for the entire organization to be able to find them in order to govern them, the following key points must be considered:
Estimate the cost and time required to migrate data during a merger or acquisition. This will depend on the data lakes and their complexity.
Enable and facilitate employee and user collaboration on the migration project.
Consider the compatibility of the systems or platforms that store the data . Companies can do this by mapping to achieve a thorough analysis of all the destinations used, including internal systems, in case they were created by the company, which are difficult to track.
Think about the data migration project in the long term. Data quality, cleansing, mapping and documentation are key factors for an efficient project. If this is not done correctly from the beginning, more problems and costs will arise later.
Establish leadership and roles. There will be many people involved in this process, hence the importance of clarifying the role that each one will have to play. In addition, to avoid human error as much as possible, it is very important to use data and automation tools whenever possible.
In addition to these points to consider, there are 3 pillars for successful data migration that every modern company must execute to overcome all challenges and obtain effective results in the transfer.
Through these pillars, a migration is achieved that promotes a future of analysis and intelligent decision-making, using profitable information.
Data migration in the face of mergers or new acquisitions can be complex, but not impossible.
When a company merges with another or acquires new platforms or working methodologies, it faces a very common challenge in many modern organizations: data environments are dispersed and KPIs do not follow the same logic.
From a data migration perspective , this is crucial as unified environments ensure less complexity in the transfer of information, as well as making it more agile and efficient.
Challenges, mistakes and pitfalls in current data migration
It is essential to understand the impact on the entire data landscape from the outset of any migration, change or merger. This is why it is necessary to establish a comprehensive overview of the environment before embarking on a migration.
In addition, it is common for companies to employ costa rica phone number lead different ways of measuring, using and calculating data. This presents an additional challenge, since it is essential that everything has the same type of logic .
Other challenges associated with mergers and acquisitions include cultural and language differences : documents and software used are often presented in different languages, creating difficulties in understanding the data landscape.
Cultural differences can also be an obstacle when it comes to decision-making, leadership, ability to change, teamwork, among other capabilities that also affect the transfer of data.
Another challenge for organizations relates to the discovery of outdated or incorrect data during the migration process . To prevent this from happening, it is essential to map data environments to fully understand what elements will be affected by the migration and what will need to be changed to properly integrate into the new combined environment.
This also helps to maximize ROI : success lies in automating data mapping and employing an automated and up-to-date documentation process.
Key factors to consider in a successful data migration
For data migration to have effective results and for the entire organization to be able to find them in order to govern them, the following key points must be considered:
Estimate the cost and time required to migrate data during a merger or acquisition. This will depend on the data lakes and their complexity.
Enable and facilitate employee and user collaboration on the migration project.
Consider the compatibility of the systems or platforms that store the data . Companies can do this by mapping to achieve a thorough analysis of all the destinations used, including internal systems, in case they were created by the company, which are difficult to track.
Think about the data migration project in the long term. Data quality, cleansing, mapping and documentation are key factors for an efficient project. If this is not done correctly from the beginning, more problems and costs will arise later.
Establish leadership and roles. There will be many people involved in this process, hence the importance of clarifying the role that each one will have to play. In addition, to avoid human error as much as possible, it is very important to use data and automation tools whenever possible.
In addition to these points to consider, there are 3 pillars for successful data migration that every modern company must execute to overcome all challenges and obtain effective results in the transfer.
Through these pillars, a migration is achieved that promotes a future of analysis and intelligent decision-making, using profitable information.