We believe in sharing the vision, partnering in accomplishing goals together. From top management involvement to cultural synchronization, we go extra miles to ensure there is a good fit. We believe the best scenario for you is for our team to work side-by-side with your internal staff, sharing knowledge and laying the groundwork for your continued success.
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HANA’s sweet spot is high performance reports and analytics from operational data. We know that not all data from every operational systems is squeaky clean from the start, rather it is the other way around. This issue becomes all the more complex as we merge more than one source system. HANA accepts data from SAP as well as non-SAP legacy systems and data quality needs to be considered and planned well in advance. It also becomes more complex as we find different systems having different ID’s for the same master data or the same ID’s for different Master Data. By simply replicating all the data from an ERP, and other operational, systems we will be replicating any data quality issues of these legacy and ERP system/s into HANA. Also if HANA is simply deployed as a Technology solution, then it may turn out to be a very expensive investment. However, if we work with business and identify critical, real-time business needs and then further prioritize then HANA has the potential to become an informatics asset as no other technology has ever been until now.
Correcting the data at the source system may not be a practical or perfect solution for all organizations having disparate systems. While correcting data issues in the source system may eradicate some of the problems the time and complexity factor of making changes in any source system are all too familiar to the data warehouse world. That is the reason we have the “Cleansing and Transform” as part of the ETL sequence in BI. At the same time it is critical to realize that HANA may not turn out to be the preferred application for resolving data quality issues since it leverages the columnar centric data store approach which is not ideally suited for data transformation or corrections. Its sole purpose is performance.
A possible scenario might be to leverage the use of a data staging area and an intermediary point to resolve data quality issues and then push the data into HANA for performance. Expedien exclusively focuses on enterprise data management solutions. We eliminate risks associated with poor data quality, unlocking, ensuring and maximizing the Business Value of your Data. Expedien has the solutions, the methodology and the experts that deliver 100% success for your enterprise data management projects starting from Data Quality Assessment™ to Data Migration to Data Optimization along with setting up a Data Governance plan to meet your business goals.
The first step is to measure the quality of your data in its AS IS state. Our Data Quality Assessment™ evaluates the “well-being” of your master data. Data Quality Assessment helps you uncover the data issues and enables you to identify how your data is compromising your business processes, your bottom line and your goals.