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Data Integration Solution .pdf


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Pick​ ​the​ ​Right​ ​Data​ ​Integration​ ​Solution​ ​to
Ensure​ ​ROI
Collecting, refining and using enterprise data is a requirement for any organization today.
Company management must be able to gain insight to their data to make meaningful business
decisions​ ​based​ ​on​ ​the​ ​metrics.​ ​To​ ​achieve​ ​this​ ​data​ ​integration​ ​is​ ​a​ ​must.
The need for data integration in today's business environment is growing. Unfortunately as
implemented in many environments requires large IT teams and dedicated experts to manage this
data and set up. These teams include IT developers and business analysts each trying to define
the overall integration process. This mix can create serious road blocks and increases in lost time
and​ ​revenue.
Some companies use manual methods and in house coding to achieve their data integration. This
is a long arduous process rife with human error, multiple iterations and long testing times. Even
worse, these methods are not easily managed, do not scale well, and are not future proofed
against changes to the IT infrastructure. The result is the need to constantly rewrite code,
requiring​ ​entire​ ​teams​ ​dedicated​ ​to​ ​integration​ ​year​ ​round.​ ​This​ ​is​ ​simply​ ​unmanageable.

Switzerland,​ ​Dorfstrasse​ ​27,​ ​8037​ ​Zürich

www.windsor.ai

Data integration is something that a modern software package can achieve with the
management of a technical business analyst. This is defined as a business user who is technically
adept, but still not a programmer. This frees up IT to focus on more pressing issues within the
company and lets the business team member with the vision for what metrics and data they need
to​ ​create​ ​the​ ​actual​ ​data​ ​integration​ ​themselves.
With this type of platform, data integration for data warehousing, Business intelligence, and
other​ ​initiatives​ ​can​ ​be​ ​completed​ ​more​ ​quickly​ ​and​ ​cost​ ​effectively.
Another key component of the right integration solution is to ensure that it has built in
connectivity to all the systems you need integrated now and in the future. This includes all major
enterprise applications, in house databases and systems, flat files, Cloud and SaaS oriented
applications and infrastructures. Your integration solution must also handle and move large
volumes of data in a short amount of time. Most enterprises can have millions of records they
need shared between their various systems, and it is essential that your integration software is not
the​ ​bottle​ ​neck​ ​for​ ​moving​ ​this​ ​data​ ​in​ ​batch,​ ​trickle,​ ​or​ ​real​ ​time​ ​methods.
Your vendor needs to offer robust and well documented support packages. Data integration is a
complex and mission critical layer to the success of your business so it is important to have a
domain expert at your disposal for complex projects. Review the vendor's customer references
and​ ​customer​ ​success​ ​stories​ ​to​ ​know​ ​if​ ​they​ ​are​ ​the​ ​right​ ​choice​ ​for​ ​your​ ​organization.
Do your homework. The solution you pick should meet a number of checklists from the software
to support, to the vendor's integration methodologies. Choosing the right vendor will save you a
lot​ ​of​ ​money​ ​and​ ​work.

Switzerland,​ ​Dorfstrasse​ ​27,​ ​8037​ ​Zürich

www.windsor.ai


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