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As organizations strive to unlock the value of their data, they are turning towards data modernization initiatives that involve acquiring new technology and implementing advanced analytics. Some organizations have taken this effort to the next level by adopting advanced techniques such as migrating to data warehouses, building Hadoop Data Lakes, migrating to the cloud, setting up real-time data ingestion and processing platforms, consuming and processing semi-structured data, and building sophisticated AI/ML engines for predictive analysis. Despite these ambitious initiatives, most are siloed and have been limited in their success and impact.

Data Modernization is a challenging endeavor, and over 70% of organizations that have embarked on some form of data modernization encounter challenges in completing these programs as planned (and expected). Many such programs exceed the budget and often end up with a curtailed scope or are put on hold to be started later.

Some of the most common challenges are:

  • Lack of clear strategy and understanding of the importance of data modernization in achieving business goals 
  • The time taken to modernize legacy data assets and the cost of change
  • Adoption of new technologies 
  • Interoperability between legacy and newer technology

While technology, plans, and designs are essential components of success, ultimately, the commitment and intelligence of your data modernization partner will bring the project to life and move the needle toward success. Virtusa's Data Modernization solution suite provides a unique range of tools, accelerators, and frameworks that specifically address the challenges in each of the building blocks of your data modernization program and can deliver an optimal tailor-made experience.

Virtusa's Data Modernization approach and solutions helps businesses throughout their modernization journey- from planning to business value. 

We seek to accomplish your vision using a unique set of tools, frameworks, and accelerators which address and solve challenges and barriers hindering successful data modernization. The following are some of Virtusa's offerings to guide businesses through their data modernization journey:

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Data strategy and data maturity assessment

Virtusa provides tools to build your data strategy and assess your data maturity using the Accelerated Roadmap Method (ARM) and Accelerated Solution Design (ASD) frameworks. These frameworks help you:

  • DISCOVER: assess your business goals, identify your prioritized needs, establish a baseline for opportunity identification, launch the discovery phase, and benchmark your high-level findings.
  • VALIDATE: validate your current-state findings and identify opportunities and future state capabilities.
  • DESIGN: launch solution design and roadmap definition.

Technology selection and roadmap evaluation

Virtusa provides expert guidance in selecting the right technology and migration approach for your data modernization program. Our Cloud Migration Decision Framework (CMDF) is designed to help you evaluate and decide on the best-fit technology and migration approach. The framework comprises three areas of decision-making:

  • Cloud selection: we help you decide on the best cloud platform for your needs, whether AWS, Azure, GCP, Hybrid, or others.
  • Technology selection: we evaluate and finalize the technology for each capability identified in your data strategy exercise, which includes Data Lake, Data Ingestion, Processing and Delivery (Real-time and Batch), Data Warehouse/Analytics Storage, Data Visualization & Advanced Analytics, AI/ML Engine, NoSQL, In-Memory Storage, CDP, MDM, and Metadata Management.
  • Migration approach: we help you decide on the best-fit migration approach from options available, namely Lift and Shift, Re-platform, and Rewrite.

Automate code migration

Accelerate and automate your migration while reducing manual effort with Virtusa's Analyzer and Code Converter Tools. The analyzer tool automates the analysis and inventory of legacy database objects and code, reducing manual discovery effort by up to 90%. The code converter tool suite accelerates the migration of ETL code to modern systems automatically. It leverages a common metadata layer and can output the required code to popular ETL tools and databases, reducing efforts by up to 70%.

Our framework uses a list of evaluation criteria, including customer-provided information, to arrive at decisions for each area, including the ability to scale, time to market, cost, reuse of current investments, risk, and degree of future-proofing. The output of our CMDF includes- technical architecture, execution plan, and data migration plan. With this approach, we help you choose the right technology and migration path for your business needs.

 

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