WHIZDATA team has a solid experience in building solutions based on products from leading vendors such as Informatica and Oracle. WHIZDATA can help you build ‘the’ MDM solution that will unite in itself the best in the world technologies for data unification, standardization and enrichment. Our team has vast experience in achieving lofty MDM implementation goals. We offer a variety of services depending on particular business needs, starting from MDM architecture upto providing complete MDM solution integrating all the parts of your ecosystem. To ensure your success, we offer engineering services in –

  • Customization of applications with the help of complex user exits applied to database processing logic
  • Development of custom cleanse functions
  • Composite services
  • Fine-tuning of match and merge process
  • Configuring standard components for business UI or building custom WEB 2.0 applications on top of the API layer

Handling Data

Data Quality:
Having data quality problems in a large enterprise system might cost your company a lot of money. To alleviate problems with data quality, WHIZDATA offers Data Quality services that can help you to:

  • Proactively monitor and cleanse the data for all applications and keep it clean
  • Enable the business to share in the responsibility of data quality and data governance
  • Achieve better business results with the enterprise data that you can trust
  • Access any data source, anywhere, and deploy centralized data quality rules to improve data quality across all applications

Having implemented Data Quality services in your enterprise system, you will get:

  • Data profiling -initially assessing the data to understand its quality challenges.
  • Data standardization -a business rules engine that ensures that data conforms to quality rules. It is also possible to auto-correct the variations based on pre-defined business rules.
  • Address standardizationis applied to name and address data, corrects data to US and worldwide postal standards.
  • Matching or Linking -similar but slightly different records can be linked via matching rules. Matching may use 'fuzzy logic' to find duplicates in the data. For example, it often recognizes that 'Bob' and 'Robert' may be the same individual. It is also able to manage 'householding' or finding links between husband and wife at the same address.
  • Best version of truth - taking the best components from multiple data sources and building a single 'golden' record.
  • Monitoring - keeping track of data quality over time and reporting variations in the quality of data.
  • Batch and Real time - Once the data is initially cleansed (batch), it is also possible to build the processes into enterprise applications to keep the data clean.

Data Analytics

Business analytics tools transform your data into meaningful and useful information required to make right operational and strategic decisions. WHIZDATA has a rich experience in development of custom business intelligence solutions based on market leading technologies.

WHIZDATA will help you to:

  • Design data analysis strategy for your specific problem based on the best up-to-date practices
  • Automate generation of existing analytic reports
  • Suggest appropriate BI technology and prove the value that it could bring to your business
  • Design and develop a data warehouse
  • Take care of scalable architecture, optimize the solution for high performance
  • Integrate analytics software into the existing IT infrastructure
  • Develop a custom web application and/or widgets for your corporate portal or managers console

Software Development Practices

WHIZDATA uses advanced tools, technologies and methodologies for software development. The main stream of our software development activities is formed by a stack of Java EE technologies.

Big Data Services

WHIZDATA is one of the early service providers of Hadoop in India. Our Big Data team is divided into Hadoop Management and Application Development teams.

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