Data integrity and BI. The strategic value of integration
Posted: Tue Jan 21, 2025 5:40 am
Discover the importance of data integrity for Business Intelligence and the secrets of data integration.
Having a well-defined strategy in which all risks have been calculated is a source of value for any organization. When working with different systems, it is essential to take their integration into consideration, giving it the importance it deserves and recognizing its harmonizing function. Integration will lay the foundations for data quality , especially in everything related to information integrity and BI .
Business Intelligence is not only the result of a technological component, but involves the accumulation of processes, people and technology aimed at obtaining high-value information for decision-making . In fact, well-informed companies can direct their actions towards the pre-established objectives in a more direct way, which is why Business Intelligence solutions are vital to business competitiveness and critical when it comes to finding and reinforcing competitive advantages.
And all of this is based on data. Data that does not come from IT, since the information is not created there (it only provides mechanisms to store, retrieve and archive data accurately and securely), but is amazon database from everywhere and at the same time, in a continuous flow. This means that, many times, the different sources that provide data can be incompatible with each other, whatever their condition:
- Tables
- Databases
- Systems
- Platforms
Data source incompatibility issues can destabilize the entire organization, affecting its entire structure, as they impact:
- The reliability of the information: the lack or deterioration of which would lead to erroneous analyses that would directly affect the actions taken after decisions are made based on them.
- Data consistency : which would lack some or all of the quality attributes necessary for the data to be usable.
- Business risk : which is multiplied when the strategy is based on an incomplete or simply mistaken perspective, since there is no single, harmonized vision .
Having a well-defined strategy in which all risks have been calculated is a source of value for any organization. When working with different systems, it is essential to take their integration into consideration, giving it the importance it deserves and recognizing its harmonizing function. Integration will lay the foundations for data quality , especially in everything related to information integrity and BI .
Business Intelligence is not only the result of a technological component, but involves the accumulation of processes, people and technology aimed at obtaining high-value information for decision-making . In fact, well-informed companies can direct their actions towards the pre-established objectives in a more direct way, which is why Business Intelligence solutions are vital to business competitiveness and critical when it comes to finding and reinforcing competitive advantages.
And all of this is based on data. Data that does not come from IT, since the information is not created there (it only provides mechanisms to store, retrieve and archive data accurately and securely), but is amazon database from everywhere and at the same time, in a continuous flow. This means that, many times, the different sources that provide data can be incompatible with each other, whatever their condition:
- Tables
- Databases
- Systems
- Platforms
Data source incompatibility issues can destabilize the entire organization, affecting its entire structure, as they impact:
- The reliability of the information: the lack or deterioration of which would lead to erroneous analyses that would directly affect the actions taken after decisions are made based on them.
- Data consistency : which would lack some or all of the quality attributes necessary for the data to be usable.
- Business risk : which is multiplied when the strategy is based on an incomplete or simply mistaken perspective, since there is no single, harmonized vision .