The Much-Needed Business Facet for Modern Data Integration
- by 7wData
Data integration has always faced complex technical issues. Obviously the technically savvy will always be needed for many aspects of data integration, and require solutions that can handle complex problems. But this approach isn't enough for what businesses need and want today from Modern data Integration. Making room for Business ubiquity – Business user participation and input – continues to be a challenge.
SaaS and cloud services are important technologies for modern data integration. SaaS in particular has brought into play ease-of-use and focused workflows to help non-technical users move through pre-built integrations. More vendor solutions are improving user experiences and solution efficiency, for both technical and less-technical users. There is increasing development of streamlined UIs, powered by sophisticated technologies behind the scenes, thus speeding data integration tasks.
There seem to be more discussions addressing business data needs, connecting data integration more directly to desired business outcomes via business processes. Including business users in more areas of data management has seen growth both in "lip service" and actual implementations. For the majority of vendors, a business user remains a tech-savvy power user. So we still have miles to go before business ubiquity in data integration includes more types of business roles.
Business ubiquity is not limited to direct participation by business users, but includes the overarching notion of Business informing all activities around data integration functions. This means empowering all sorts of business roles to work in partnership with IT, to inform, validate, and provide context to data integration processes. Business roles can help determine if data integration functions will deliver the right data, and will know where problems are likely to occur.
The Modern Data integration technology platform should provide access points for business users, as well as templates for practices and processes that help organizations engender useful, dynamic and continuous collaborations between business and IT – and the growing involvement of business roles at many levels. Collaborative approaches are usually iterative and involve processes that are both human-based and technology-based. Modern data integration solutions should include all appropriate collaborative aspects.
We're seeing growing attention on tools that more quickly connect business users to the data they need, without much intervention from IT. Data integration is not an easy-peasy undertaking for anyone. But we can break out components that are more amenable to business user access and participation, such as data preparation. There is real value in moving these tasks from IT to business users who can connect data to business processes, usage realities, professional knowledge, and pertinent requirements.
Self-service data preparation solutions include the integration of disparate data sources. These solutions address all of the functions that make the data business-usable and reliable: profiling or exploring, cleansing (which should follow organizational data quality guidelines), enrichment, and so on.
Business users working with data preparation solutions can achieve greater agility to respond to new data sources, new business initiatives, narrow windows of opportunity, impending competitive threats, and unexpected market changes – all of the realities of fast-changing and highly digital business worlds.
Data profiling started off as a technology and methodology for IT use. But data profiling can be an important tool for business users to gain full value from data assets.
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