Every offer has both tangible and intangible economic value. The intangible is growing faster. Service and information is growing explosively, reducing the importance of tangible mass.

Deliver accurate, trustworthy, and timely information across your enterprise.  The data quality management software can help you analyze, cleanse, and  match customer, product, supplier, and material data – for smarter  decision making, greater agility, and improved overall performance.


BusinessObjects Analytics

SAP BusinessObjects Analytics portfolio delivers the most comprehensive cloud and on-premise solutions to allow IT and business users to collaborate and analyze data in a secure and self-service way. SAP BusinessObjects range of the products makes information stored in data warehouses and across a variety of other data sources more readily accessible to businesses and developers seeking to draw value from it in the form of advanced analytics and other applications.

Remove a major stumbling block affecting big data projects

 moving ETL (extract, transform, load) data to a centralized location for subsequent processing

  • Discover how to master different business solutions which will help you deliver high quality reports to your organization and clients.
  • Work efficiently in a BI environment while keeping your data accurate, secured, and easily shared.
  • Learn how to build and format reports that will enable you to get the most useful insights from your data


  • Remote Data Collection Systems and Periodic Data Download.  
  • Regularly Scheduled Data Transfers (Uploads/Downloads) via Asynchronous, Synchronous, LAN (Network) and WAN (Internet, Other) Communications.  
  • Data Set Import, Export, Conversion, Extraction and Manipulation.  
  • Data Set Analysis, Archiving, Charting and Reporting.  
  • Log Analysis and Reporting (System, Application, Web/Email/Database Server, Security/Firewall, etc.).  
  • System-to-System Transfer of Data via Defined File Formats and Protocols.  
  • Development of Custom High-Speed Databases (100+ Million Records).  
  • Database Definition, Design and Normalization.  
  • Pattern Searching and Matching using Regular Expressions (Unix/Linux, Shell and Perl RegEx). 


Data Quality Management

Data quality is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. 

Data Quality Management is essential to CIOs, CFOs, or CEOs who need to understand, correct, or prevent data quality issues in their organization. There are proven approaches to identifying, warehousing, and analyzing data errors – the first step in any data quality program. Master techniques in:  

  • Data profiling and gathering metadata 
  • Identifying, designing, and implementing data quality rules 
  • Organizing rule and error catalogues 
  • Ensuring accuracy and completeness of the data quality assessment 
  • Constructing the dimensional data quality scorecard 
  • Executing a recurrent data quality assessment


Intangible Data Essentials

From QM (Quality Management) configuration to business process management to working in the system, SAP provides you will all you need to get a 360-degree view of the Data Quality Management, and set up essential master data. Quality Management works tightly with other components such as supply chain, and also workflow tools like the Classification System and Engineering Change Management.


Data Analytics and Ethics

Get simpler, more affordable big data analytics and warehousing. Redefine how your business operates and delivers products and services with the SAP digital platform that support data management and cloud solutions. 

Manage data from any source, in any format – and rapidly develop, integrate, and extend business applications – all on our open digital platform.

When it comes to big data ethics, contextual errors are the tip of the iceberg. The bigger concern is what such blind faith in the data will lead to -- as opposed to scrubbing the analysis with scrutiny or critical thinking.


Chief Data Officer Role

Whether or not you actually have somebody called a CDO in your organization, or whether someone is just acting as the data transformation strategy lead in the organization, the chief data officer role is rising, and it's becoming more formal. 

If companies know that they need to become a digital business or if they know that data is going to be the center of everything that they're doing, the people at the top are asking if the company is ready, and if there's a tipping point to redesign their data transformation strategy! 

There's also a lot of interest in the digitalization of resources, as well, with data as the new asset. It's something that everyone in the organization can use now and wrangle it; it's not just the people around the executive boardrooms. With all this data that's coming in, organizations have to ask if they are going to openly share that data or are they going to monetize that data.


Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is fairly intuitive for users familiar with Excel and its deep integration with other Microsoft products makes it a very versatile self-service tool that requires little upfront training.


  • Design and Development of Software Systems for use in Secure Environments.  
  • Re-Design and Retrofit Software Systems to Implement Security Enhancements.  
  • Design and Development of Software for use on Firewalls and Gateways.

It is a bold prediction that the next big data trend would be lawyers. Applying ethical codes to big data stewardship and the importance of not ignoring the debate over privacy and big data!



  • Diagnosis and Troubleshooting.  
  • Failure Analysis.  
  • Problem Solving and Solutions.  
  • Debugging and Correction of Malfunctioning Systems and Source Code