Analytical Model Definition and Implementation

WNS uses the latest Business Intelligence (BI) tools to offer customers visibility into the company’s key information by tapping into diverse systems to create data warehouses, which provide standardized reports with a full ability to 'drill-down' and 'slice and dice'. Our BI solution revolves around proposing the best fit technology suite based on scale, level of interactivity and flexibility required. We have developed a number of rich BI portals using technologies like SQL Servers SSIS and SSRS, Business Objects, COGNOS, and Hyperion. Our BI services include:

  • Program management
  • Requirements gathering / validation
  • Prototyping
  • Procurement / hosting
  • Mailroom process re-engineering
  • Implementation / configuration
  • Customizations
  • Configuration and user testing
  • Maintenance / upgrades
  • Administration and end-user training

Configuration, Customization and Implementation of EIS Solutions using OLAP Tools

WNS deploys various Online Analytical Processing (OLAP) tools for configuration, customization and implementation of Executive Information System (EIS) solutions. We have developed a number of enterprise level solutions tailored around specific reporting needs – from large-scale mortgage fulfillment systems, compliance monitoring systems, CRM systems to workflow solutions. Our recommended approach involves identifying requirements, data discovery and anomaly detection, data loading, ad-hoc analysis and report generation. The implementation process includes solutions like data acquisition and aggregation, data cleansing, data analysis, report design and generation, and insights generation.

Interface Development, ETL and Data Cleansing

WNS deploys state-of-the-art techniques for generation of comprehensive and meaningful data for analysis by its customers. These techniques include the quintessential processes of data acquisition, aggregation, cleansing, analysis, and interface and report design. Best-in-class methods are used for acquiring raw data from customers; cleansing the data while checking for accuracy, completeness, duplicates, etc.; running Extract, Transform and Load (ETL) procedures for aggregating processed and corrected data; and developing user interfaces for extracting meaningful information by way of reports, insights, ad-hoc analysis, etc.

OLAP and Report Generation

Business, management and financial reporting, budgeting, and forecasting are pertinent to the strategic growth of an organization, and are essential in the efforts to reduce cost. To help companies achieve their organizational goals, WNS deploys a wide range of Business Intelligence (BI) tools, such as Business Objects, COGNOS, Informatica, Crystal Enterprise, Data Stage, Microsoft SSRS, SSAS and SSIS, and charting components like Dundas, Xcelsius, Fusion, etc. These reporting and data mining capabilities enable creation of web-based reporting applications, which provide clients a multi-dimensional view of vital data by way of analytical operations like consolidation, drill-down, slicing and dicing, and nesting, providing the much-needed insight into how the company is faring.

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