Marlabs Offers Superior Data Warehousing Solutions

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In all situations, the outcome is undoubtedly dependent on the inputs provided. Hence the quality of data entering the warehouse directly impacts the quality of the information that comes out of it. To ensure the superior quality of data in the data warehouse, issues related to quality have to be tackled at all phases. ETL and Data Staging is one of the most crucial of all stages. It is a chief location for validating data quality from source or auditing and tracking relative data issues. Outlier Analysis plays a pivotal role in addressing these challenges.

Marlabs’ Outlier Analysis methodology identifies outlier in data load stage at file level by meritoriously saving the response time, with no further delay in analysis report. Marlabs Outlier Solution has an upper edge since hierarchy drill reaches till the raw data to provide the best upshots. Marlabs provides Field Level maintenance with special characters, numbers in character field, length of column, range value, nulls, and value based support, while the File Level assistance takes into account the uniform index of the file size, record count, length of record, and count of column. Marlabs Outliers algorithm isolates the glitches using advanced statistical techniques and mechanisms in data warehousing framework.

To know in detail about Marlabs Outliers Analysis and other Data Warehousing Solutions, visit http://www.marlabs.com/technologies/bi-analytics/offerings

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Marlabs Offers Superior Data Warehousing Solutions

  1. 1. Marlabs Outliers Analysis Field Level Special characters Numbers in character field Length of column Max/Min value in column Nulls Value based ABOUT MARLABS Marlabs is a USA headquartered award winning provider of innovative Information Technology and Knowledge Process Outsourcing services. Founded in 1996 and headquartered in Piscataway, New Jersey (USA), Marlabs has a culture of success balanced between consistent year-on-year revenue growth and excelling employees. Marlabs also has a strong and dedicated human capital strength of over 2100 and a network of delivery centers in USA, Canada, Mexico and India. Marlabs follows a unique multishore model utilizing Global Technology Centers of Excellence. Marlabs has assisted hundreds of blue chip customers across different verticals to achieve success through both business and operational excellence. For more information, please call us at +1(732)-694-1000 or email us at sales@marlabs.com USA | Canada | Latin America | India | Malaysia © 2013 Marlabs Inc. Marlabs believes that the information contained in this publication is authentic and accurate as of its publication date. However, such information is subject to change without notice and Marlabs shall not be liable for any loss resulting from reliance upon such information. How credible is your raw data? What are the recent initiatives you have taken to assess and improve the quality of data that is being fed into your data warehouse? How much time it takes to reprocess your data? A product is only as good as the raw material it is derived from. The same is true in case of data and information. Therefore it is of utmost importance that good quality data enters the warehouse since it directly impacts the quality of the information that comes of the warehouse. To achieve good quality data in the data warehouse, the data quality problems have to be tackled at all phases. ETL and Data Staging is one of the most crucial stages. It is a prime location for validating data quality from source or auditing and tracking down data issues. It is here that Outlier Analysis plays a very important role. What’s new in Marlabs Outlier Solution?  Identifies outlier in data load stage at file level  Effectively saves response time  No need to wait for analysis report  Hierarchy drill reaches till the raw data File Level File size Record count Length of record Count of column Marlabs Outlier Analysis methodology identifies data outliers at data load stage. Marlabs outlier’s algorithm identifies anomalies using Advanced Statistical techniques and works in data warehousing framework. Marlabs Offerings

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