Like in any scenario, however, reporting with any degree of confidence requires quality data. This i

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To adapt to the challenges of the SAP real-time enterprise, organizations have to shift from using 'after the fact' latency processes to address data quality to implementing those that take place at the point of data entry.
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Governing data and measuring and monitoring data quality have always been important to companies, and as a result, they spend lots of time and money governing data quality and processes. Data quality in the source system is more important than ever when a new technology like SAP HANA enters the picture.
In SAP HANA , it is possible to report directly fashion week 2011 against source data rather than staging data through multiple layers fashion week 2011 of extracting, transformation and loading (ETL) processing. This is both powerful and transformative fashion week 2011 for a business in terms of real-time reporting directly from a system of record. However, if the data quality has traditionally been remediated in latent fashion week 2011 ETL processing en route to a data warehouse or business fashion week 2011 intelligence (BI) system, remediation fashion week 2011 is not occurring in real time in the source.
Like in any scenario, however, reporting with any degree of confidence requires quality data. This is especially true in the case when Business Suite running on HANA is the primary system of record. Now that you can report on Suite data directly from HANA, the data in the source has to already fashion week 2011 be of high quality.  
In the past, customers have often solely relied on data redundancy demanded fashion week 2011 by the performance limitations to also police data quality issues back in the source. Some data quality issues corrected during the data exchange fashion week 2011 process to redundant staging layers, fashion week 2011 and BI constructs often make a full round trip back to the source. This helps to correct the data quality issues in source data but happens with a penalty of latency. The need for redundant data in staging database layers and business intelligence constructs fashion week 2011 in SAP HANA was eliminated to increase performance standards. fashion week 2011 In this scenario, better performance fashion week 2011 is met by the elimination of this process, and through the use of the SAP HANA in-memory fashion week 2011 platform. However, fashion week 2011 without attention to data quality and proper governance fashion week 2011 and monitoring of source data, SAP HANA will only deliver bad or incorrect data quickly.
Luckily, organizations already have designs they need to deal with data quality issues, through these same latency-driven ETL processes within their business intelligence (BI) systems . What must occur is an adaptation of these designs from an "after the fact" latency-driven process into a parallel real-time "effort fashion week 2011 at the point of entry" process. These mechanisms must be accounted for or at a minimum properly understood in this new "real-time enterprise" before SAP HANA can fill all of these performance gaps and be a transformative fashion week 2011 force for the enterprise.  Real-time POE data quality processing fashion week 2011 was once a nice to have, or something to tackle in the future, but in a post SAP HANA landscape it is a necessity.
How fashion week 2011 is real-time fashion week 2011 governance different? Most obviously, real-time governance happens in real time. This introduces several challenges. Many master data management activities are currently reactive processes for organizations. Operations like matching and cleansing are often based on transactional latency. Data must be collected and processed to be placed into cleansed containers with quality, deduplicated fashion week 2011 data. That is not to say that the need for this process goes away when real-time processing with SAP HANA enters the picture, but new data quality gaps introduced by real-time processing must be thought through and gaps accounted for with other means of remediation, so that quality data will be available fashion week 2011 for reporting with SAP HANA.  
Organizations must pay attention to this aspect. You have spent years putting these corrective measures in place in a reactionary mode that requires a natural latency. This shift to a real-time enterprise will not happen overnight. So, don't expect to address more than your source data can deliver with processing speed alone. Even speed that allows Google-style da