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4 Prominent Reasons Your Conventional Data Integration
Approach Will Backfire
Due to the proliferation of application networks in the last two decades, a considerable growth
has been witnessed in the database governance roles. It has become quintessential for IT teams to
have a fully integrated view of their database. The conventional data management applications
lack this ability to share data with other applications in a seamless way. However, companies
with robust ETL Tools share heterogeneous and autonomous data fragmentation issues without
Difficulties with traditional data integration approaches
ETL Tools provide a uniform platform to access and integrate autonomous and heterogeneous
data sources. Such tools help in querying disparate data sources, providing support to web-scale
data integration, structuring the unstructured data, and accessing data in real time. On the
contrary, manual data integration can be strenuous and resource consuming job.
● Heterogeneous Systems: The biggest reason which makes data integration difficult is a
network of heterogeneous systems. Imagine a scenario where all your systems are
feeding upon the same platform and other data sources relational databases supporting
SQL/JDBC. SQL is a query language for relational databases but vendors might have
deployed it in a different manner. The manual integration task becomes very difficult
because of the discrepancies posed by hybrid application deployments and data
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fragmentation. And businesses need to overcome these problems if they want to do
business with agility and acquire potential partner opportunities.
● Difficulties in Strategy Execution: Manual BI data integration does not solve the real
purpose many times. Manually, it is difficult to integrate systems to the smallest level.
Considering every point to point integration and creating interconnections requires
delicate calibration. Therefore, thorny issues surface to the ground when IT teams try to
integrate a Merchandise Management System (MMS) with Salesforce, QuickBooks or
any other application.
● Lack of Drill-down Reporting Features: ETL Tools provide data visualization
techniques that generate reports about every layer of integration. Such features to refine
data elements at the deepest level are not available in the manual integration methods.
That's why it becomes difficult to optimize data with a manual integration approach.
● Lack of adequate know how: Organizations need specifically dedicated teams for
migrating their critical data from legacy systems to any other premise. Unfortunately,
experts in the field of information solutions and Electronic Data Interchange are very
rare. Hence, setting up a team of integration specialists will include a lot of headhunting
and recruitment cost as well.
Therefore, using advanced ETL tools for simplifying the complex Electronic Data Interchange
operations is a strategically wise decision. However, experts recommend businesses to exercise
diligence while choosing an ETL Tool for their business case. A good tool should offer more
features at a lower cost. Companies can use the ETL Tools Comparison matrix to help
companies in making an intelligent investment.
Prince is a Technocrat at Adeptia who has credible skills in the area of database automation, data
validation, exception handling and back-end data integration. His expertise resides in his ability
to quickly diagnosing the roadblocks to mission-critical IT initiatives and generating a
need-based response. Leveraging his in-depth knowledge with a wide spectrum of software, i.e.,
Integration, Enterprise Application Integration (EAI),
Business-to-business (B2B) Integration, and Business Process Management (BPM) Prince has
helped many reputed client in accomplishing their business goals.
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