Data Modernization

Access Actionable Data Anytime for Real-time Insights

Many enterprises are often fraught with legacy applications that generate, manage, and store data in legacy databases. These legacy systems do not provide access to reliable, timely, and relevant data, costing enterprises productivity and customer experience.

We help enterprises build stronger data platforms, leveraging the latest data modernization services & techniques, business intelligence, and analytics that enable them to access, transform, measure, and monetize their data effectively.

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Data Modernization

Modern Data Architecture

Transform from Legacy to Modern Enterprise

Data modernization allows data to flow seamlessly among various databases, breaking silos, improving data consolidation, and making data ready for analytics.Data modernization strategy is at the core of digital modernization for any enterprise that looks to leverage the full potential of its data.
Enterprises need to have an acute sense of market, that allows them to implement robust data modernization strategies to handle such large influx of data.
data modernization strategy
Modern Data Architecture

Accelerate Business Outcome by Robust Modern Data Architecture

We are in the era of data explosion. Typically, huge volumes of data hit enterprise applications at a very high velocity. So, enterprises need high-performance modern data platforms that can ingest, transform, analyze data in real time to create actionable insights.

Enterprises need to have an acute sense of market, that allows them to strategize data modernization to handle such large influx of data.

Demystifying Data Modernization

We believe in developing solutions that provide our customers the biggest bang for their buck. Our data modernization services starts with the business vision of our customers. . Our data modernization framework is a combination of processes that help build a robust data platform.

Our Three-Pronged Approach

Empathize with our customers’ business challenges and vision

  • Conduct workshops to understand the business landscape and the vision
  • Document and solicit agreement for the “needs” and the “wants” and the target “time-to-market” for the solution
  • Understand the stakeholders (clients, executives, shareholders) who will benefit from the business outcomes

Empathize with our customers’ business challenges and vision

  • Conduct workshops to understand the business landscape and the vision
  • Document and solicit agreement for the “needs” and the “wants” and the target “time-to-market” for the solution
  • Understand the stakeholders (clients, executives, shareholders) who will benefit from the business outcomes

Explore new possibilities to help achieve our customers’ business vision

  • Evaluate the existing data landscape (data sources, data integration, transformation, storage, reporting) and investments in infrastructure and people
  • Research and identify tools/technologies, new architecture strategies, and frameworks that help achieve customer’s business goals
  • Perform “fit-gap analysis” and “cost-benefit analysis” and present a high-level target state architecture plan and the costs involved

Educate customers on the target state platform

  • Organize workshops that educate our customers on the target state platform and get it vetted with the SMEs who own those platforms
  • Evaluate our proposal with the market as well as with our customer expectations
  • Equip our customers to handle their data platforms by themselves and evolve or upgrade them

Establish processes to develop, implement and test target state platforms

  • Follow the Agile, Waterfall, and Hybrid models to make sure that the target platform is built with the right processes
  • Set up a data pod that consists of Technology Delivery Managers, Business Analysts, Data Architects, Solution Architects, and Developers
  • Build a highly modern data platform
Empathize

Empathize with our customers’ business challenges and vision

  • Conduct workshops to understand the business landscape and the vision
  • Document and solicit agreement for the “needs” and the “wants” and the target “time-to-market” for the solution
  • Understand the stakeholders (clients, executives, shareholders) who will benefit from the business outcomes

Empathize with our customers’ business challenges and vision

  • Conduct workshops to understand the business landscape and the vision
  • Document and solicit agreement for the “needs” and the “wants” and the target “time-to-market” for the solution
  • Understand the stakeholders (clients, executives, shareholders) who will benefit from the business outcomes
Explore

Explore new possibilities to help achieve our customers’ business vision

  • Evaluate the existing data landscape (data sources, data integration, transformation, storage, reporting) and investments in infrastructure and people
  • Research and identify tools/technologies, new architecture strategies, and frameworks that help achieve customer’s business goals
  • Perform “fit-gap analysis” and “cost-benefit analysis” and present a high-level target state architecture plan and the costs involved
Educate

Educate customers on the target state platform

  • Organize workshops that educate our customers on the target state platform and get it vetted with the SMEs who own those platforms
  • Evaluate our proposal with the market as well as with our customer expectations
  • Equip our customers to handle their data platforms by themselves and evolve or upgrade them
Establish & Evaluate

Establish processes to develop, implement and test target state platforms

  • Follow the Agile, Waterfall, and Hybrid models to make sure that the target platform is built with the right processes
  • Set up a data pod that consists of Technology Delivery Managers, Business Analysts, Data Architects, Solution Architects, and Developers
  • Build a highly modern data platform

Discuss First.

Digital Possibilities Next.

Talk to us

Value we Deliver

Some Challenges We Solve

Benefits You Gain

Lack of agility and flexibility due to the legacy database in multiple formats

Modernized platform to handle both unstructured and structured data formats/sources

Time-consuming data process leading to poor database performance

Instant data processing and report generation

Aging technical expertise and high maintenance cost

Zero-maintenance and cost-effective cloud service

Tool Landscape

amazon REDSHIFT
databricks
snowflake
AWS Lake Formation
druid
Azure Synapse Analytics
BigQuery
Dataflow
Dataproc
amazon REDSHIFT
databricks
snowflake
AWS Lake Formation
druid
Azure Synapse Analytics
BigQuery
Dataflow
Dataproc

Tool Landscape

amazon REDSHIFT
databricks
snowflake
AWS Lake Formation
druid
Azure Synapse Analytics
BigQuery
Dataflow
Dataproc

Words We Love. Testimonials.

What Clients have to say About Us

“We have had a great working relationship with KANINI for 5+ years. A truly fwd looking and trustful partnership which is instrumental in us delivering world class, Global, innovative, complex enterprise secure business solutions using latest technologies and with highest quality. The collaborative culture of this company which Adapts to evolving business needs, its capability to sit With us on the leadership table as not just delivery partners but advisors differentiates them from others. Onshore - offshore resourcing model options gives us flexibility and agility needed in these times. KANINI leadership is always there for us and We are looking fwd to many more wins together.”
A Senior Executive
A Senior Executive
From a Top Financial Services Company
"I have engaged KANINI'S services for several years involving the development of a comprehensive transportation logistics and risk assessment tool for policy analysis and operations planning. Throughout this entire experience, KANINI staff have demonstrated a high level of knowledge and skill in performing a multitude of software development tasks. Moreover, the culture of the organization reflects a commitment to professionalism, high quality performance and working collaboratively with customers to produce a successful outcome."
Mark Abkowitz
Mark Abkowitz
Professor of Civil and Environmental Engineering, Vanderbilt University, Director
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Insights. Alcove Of Assembled Resources.

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Why Do Banks and Financial Services Institutions Need a Robust Data Modernization Strategy?

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How to Build a Robust Data Modernization Strategy Roadmap for Banking & Financial Services

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