Data Integration: Joining the Data Pieces of Your Business Puzzle

While it is a no-brainer that the better connected and communicating the units of a business, the more competitive, agile and successful it is, when it comes to enterprise data integration, the value of connectivity often remains overlooked, leaving the immense potential of business records interconnectedness dormant.Linked Data and Business

(Not) Joining the Data Pieces of a Business Puzzle

Managing enterprise data properly is substantial for assembling the complete picture of a business puzzle. However, collecting, storing and retrieving data is many times done in way that hinders their efficient use across the organization.

As throughout the different stages of its development a business needs to solve ever-changing challenges, various systems are built on the go. The trouble with this is that these systems address each problem ad hoc with vendor-specific solutions serving a short-term need while, in the long term, making the generated data sound Greek to every other new system added. Inevitably, more and more challenge-specific solutions are accumulated, the data integration of which becomes a challenge by itself. Scattered across different departments in different format, data pieces are hard to manage and nearly impossible to extract useful information from. This makes the organization unaware of what it knows. Something more, data is locked in silos and knowledge storage, access and retrieval are impeded.

 

Agile Data Integration: Completing the Picture on an Abstract Level

Attempting to gain a 360-degree view of a business using data of different formats and from disparate sources becomes very much like trying to assemble a jigsaw puzzle from various vendors – the picture to be completed is the same, yet pieces can’t interlock as their formats are different. Such task might look daunting only if the solution is sought within it. Outside this challenge, a level of abstraction up, lies a simple solution – completing the picture on an abstract level. What it takes is representing each piece with a virtual standard format piece and further using the universalized replicas to assemble the puzzle virtually.

In the case of business information expressed and recorded with different data formats (which is actually what data heterogeneity is all about) the solution is similar. Heterogenous data chunks are represented in a uniform way and made ready to be integrated and further used in countless combinations. This approach uses “a set of best practices for publishing and connecting structured data” called Linked Data.

Heterogeneous data

Lean is Linked Data Spelled Wrong

“… when you connect data together, you get power”
(cit. Tim Berners-Lee The next web)

Linked Data is a simple yet robust solution for consolidating data from disparate sources and in different formats. All technicalities aside, Linked Data principles are about representing and accessing data in a standard format.

On the Web, as a collection of interrelated datasets, Linked Data is used for integrating of and reasoning on data. For enterprise use, the standardized, vendor neutral-technologies behind Linked Data are powerful tools for enabling connectivity across databases and satisfying the growing need for integrated (read efficient) data management.

Linked Data principles hold the potential to combine enterprise data (from both internal and external data sources) into a coherent whole, addressing data integration without the need to replace existing systems. The integration is done by creating a metalayer of uniform data representation through which the data sets from the systems are joined and a single entry point to access, use and reuse data of different formats, schemas, storages is created.

The power of connecting data

Key Benefits of Representing Enterprise Data in a Standard Format

Linked Data for enterprise data integration opens up multiple perspectives on what a business “knows” opening the doors for lean information management and robust business intelligence.

In practice this means enabling the information to flow unobstructed across all enterprise departments: the CMS of the sales department easily exchanges data with the DAM of the marketing department and/or the ERP of the financial department.

Representing information with a standard data format (what Linked Data is all about) provides interoperability not only within the organization but also outside it, when data is to be shared and/or integrated with other enterprises.

Within the organization, representing data in a standard format makes for neatly classified, annotated and interlinked data sets that are easy to access, query and combine. Enhancing the information exchange across departments, well-organized enterprise data saves time and resources.

Data streams outside the enterprise also benefit immensely from a Linked Data approach. In the first place, standard format data are future-proofing enterprise data, making them ready to enter endless types of relationships with various data-fed agents, such as applications, devices, platforms, search engines etc. Secondly, adding a metalayer to enterprise siloed data (RDF-izing it, to use the data practitioners’ lingo) means tapping into the potential of enriching in-house data with readily available external data – both from public data sets and/or from proprietary ones.
Data Integration

Looking at Enterprise Data From Any Perspective You May Care to Examine it From

As a case in point for using Linked Data principles for enterprise data integration, consider the following situation. A company’s financial department “knows” (has records and expertise) that doing business in country A is cheaper than doing business in country B. On the other hand, the marketing department “knows” (has acquired data) that the number of clients the company has in country A and country B are the highest. Now, let’s say the company management want to explore where to open a new office. For sure, having the integrated information from all the different departments at their fingertips will save them time and recourses when making the choice. Something more, their decision making can be enhanced even further, with additional facets brought to the entire picture – the data available is enriched with external data. In our example case this is linking the internal data for the countries A and B to a public data set which maps, for example, the road infrastructure or to a proprietary data set, containing key information about office rentals in the given country.

From Business Records to Actionable Insights

By and large, with Linked Data technologies data enrichment opportunities are limitless. Having all that unified, standardized and interlinked data augments your business records, letting you access them through various perspectives and turn the interconnected information into actionable insights to serve your organization’s objectives.

The flexibility of representing enterprise data with a standard format makes a semantic layer on-top of existing systems well worth considering. Allowing you to look at your data from any perspective you may care to examine them from, Linked Data technologies set the stage for smarter and faster decision making, coherent understanding of business processes and needs together with a holistic approach to recognizing opportunities or spotting bottlenecks.

Being able to access all your systems via a single entry point helps you get a comprehensive understanding of the context in and outside the enterprise, without the need for yet another costly, complex ad hoc solution. For in an environment, inundated by data, building an agile business is about recognizing the power of information interconnectedness and further using that understanding to integrate, interpret and ultimately make sense of data.
Limitless Opportunities

Teodora Petkova

Teodora Petkova

Teodora is a philologist fascinated by the metamorphoses of text on the Web. Curious about our networked lives, she explores how the Semantic Web vision unfolds, transforming the possibilities of the written word.
Teodora Petkova

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