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Data Entry Services Empowering Enterprise Software Implementation
 
Unavailability of cleansed data can mean snags in implementation cycles of software and hardware infrastructure worth millions of dollars.

STL, as strategic data empowerment service partner positively impacts all IT Initiatives regardless of an organization's domain – be it manufacturing / finance / healthcare etc through resources that have over 150 man-years of experience in managing data related to enterprise software implementation.
 
For every enterprise software implementation one of the major pain areas is related to availability of the right data. This is made available through capture, aggregation, collation, conversion, cleansing and creation of data from multiple sources: legacy data stored in scattered databases, Excel sheets, pdf files and also hard copies.
 
The following are the specific pain areas related to data:
 
IT Initiatives Data related pain areas
ERP
  • Creation of master data related to items / BOM

  • Cleaning of BOM list and Item Master

  • Capture, Cleansing and Conversion of data related to material in process

  • Creation / Cleansing of other production related data
  •    
    Supply Chain Management
  • Cleansing of vendor data

  • Creation and Cleansing of transportation data
  •    
    CRM Capture, Cleansing and Conversion of:
  • Active accounts data

  • Customer to product mapping data

  • Prospect research data

  • Market segmentation data

  • Product data

  • Competition data
  •    
    Document Management Systems
  • Logical document determination

  • Document indexing

  • Document data cleansing
  •    
    Product Lifecycle Management Systems
  • Availability of Catalog data

  • Collation of product-sales data with product-technical data
  •    
    Business Intelligence
  • Data cleansing and integration for data warehousing systems
  •  
    The data can be effortlessly incorporated to be a part of any enterprise wide IT solutions.
         
    For more details on the data related pain areas for an IT initiative  
         
    ERP  
    Supply Chain Management  
    CRM  
    Document Management Systems  
    Product Lifecycle  
    Management Systems  
    Business Intelligence  
         
      The data captured, cleansed and/or created can be:  
         
    Profiled: Analyzed for inconsistencies  
    Parsed: Identified and placed into specific fields  
    Standardized: Made consistent throughout  
    Verified: Compared against a universal master  
    Matched: To related files  
    Cleansed: Duplicate entries eliminated  
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