Services > Build > Data Integration

More data, more sources, more partners, and more demands for immediacy: data integration empowers your business intelligence system to handle all of them.

What’s running under your BI hood? Clarity can make it hum.

The problem statement at its most basic: Your organization needs to move data quickly and cleanly from Point A to Point B.

The problem statement in today’s reality: Your organization’s data is everywhere, and custom code likely handles a lot of it. Some data may reside in departmental islands, and some may have already been centralized into a data store through other data integration efforts—which themselves might be islands in need of integration or expansion. Plus, your data is growing due to business changes, channel proliferation, and user analysis, which means that batch processes are less effective at the same time that bottlenecks are more common. Underneath all of this is the constant issue of data quality.

For your organization to be truly intelligent, it needs unified information that’s accurate and fast. For organizations operating in  haphazard, homegrown, or inherited data integration environments, that kind of information can seem like a myth rather than a real possibility. IT departments in these organizations spend a lot of time prioritizing and attacking the backlog, only to get two steps ahead and one step behind.

Clarity can help. We are the extra resources you need for the deluge of data integration needs, and we come aboard fast to do the following:

Deliver a series of quick wins to the business, and provide progressive relief for strained systems.
We design comprehensive data integration programs, and implement them one project at a time.

Satisfy your users' continual requests for information, and free IT.
We integrate the right data into the BI environment, and enable IT to do so much more than make never-ending integration to-do lists.

Bring together your data integration weapons of choice.
The variation in data sources, types, and loads across most enterprises means that a hybrid approach to integration is often the most pragmatic. This kind of environment can consist of: 

• ETL (Extract, Transform, and Load) to capture data from multiple source systems, standardize it, and consolidate it into your analytical or operational data stores. Effective ETL also supports metadata, data profiling, data quality, auditing, change data capture, and end-to-end process automation.
• ELT (Extract, Load, and Transform) to take advantage of today’s powerful databases. With transformations the culprit behind so many in-stream bottlenecks, moving these transformations to a highly scalable data store can provide much-needed flexibility (and ease additional hardware requirements) in load processing.
• EAI (Enterprise Application Integration) to propagate changes in data to all applications that use the data, and to support the business processes that the applications manage.
• EII (Enterprise Information Integration), to pull data from source systems via a data federation engine, and integrate this data into a single virtual view EII eliminates the need for physical storage and enables on-demand, real-time queries. For more information, see Data Virtualization.
• Operational Data Integration, to consolidate or synchronize separate databases or data marts. This facilitates broader visibility into your organization’s information, while reducing the number of applications that must handle it.

Contact us to discuss your own data integration environment, and how Clarity might be able to add value.