Have a well established strategy and in which all risks have been calculated is a source of value for any organization. When working with different systems, it is essential to bring your integration in consideration, giving it the relevance it deserves and recognizing its harmonizing function. Integration will lay the foundation for data quality, especially in everything concerning information integrity and BI.
Business intelligence It is not just the result of a technological component, it implies the accumulation of processes, people and technology dedicated to obtain high-value information for decision-making. In reality, well-informed companies can direct their actions towards pre-established objectives in a more direct way, so the companies Business intelligence solutions are vital to the competitiveness of the company and fundamental to finding and strengthen competitive advantages.
And all of this is backed by data. Data that do not come from the IT area, since the information is not created there (only mechanisms are provided to save, retrieve and archive data accurately and safely), but they are obtained from everywhere and at the same time, in a continuous flow. This means that, habitually, the different the sources that provide data may be incompatible with each other, whatever your condition:
– boards
– Databases
– systems
– Platforms
The data source incompatibility issues They can destabilize the entire organization, covering its entire structure, since they affect:
– The information reliability: whose lack or deterioration would give rise to erroneous analyzes that would directly affect the actions taken after the adoption of decisions based on them.
– The data consistency: that it would lack some or all of the quality attributes necessary for the data to be usable.
– The business risk: that multiplies, since the strategy is based on an incomplete perspective or directly incorrect, since there is no unique and harmonized vision.
Work should be done to minimize any type of error in the data integration processes, especially, if one takes into account that a company that invests time and money in an initiative WITH A:
– It has built and supported certain return on your investment.
– He has worked for the reduction of waste and the profit maximization, as dictated by the current economic climate.
– Has a strong project development framework that includes good data architecture, data governance quality, the right tools and effective leadership.
But the reliability of the business analysis you perform will always be limited to the data quality What's wrong. In summary, we can say that, despite all the investment, whether the quality of the data and data integrity test they are poor, the business will be involved in a high risk scenario, that multiplies when they also intervene Integration processes.
The integration secret of data, if we want its result to be Risk free and that also constitutes source of strategic value for the company it is:
– Select the data integration technique suitable: depending on the characteristics of the sources of origin of the data.
– Please note the Business rules Applicable: since they are the ones that establish the guidelines towards which the processes inherent to the data quality stage should be oriented.
– Make sure you achieve a deep knowledge of databases the systems to integrate: the only way to successfully make the most of the transition to integration.
– Watch over the data quality throughout the procedure: apply cleaning and enrichment techniques when deemed necessary, after profile the data.
– Complete the integration with a subsequent validation stage, that serves as verification and ensures that the data integrity exists and that none of the IT standards have been violated in the procedure.
Photo credits: “Tablet PC with Business Concept” by suphakit73 Y
“Key computer button in green” by Stuart Miles
