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Analytics Modernization

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Analytics Modernization

Out with the Old

On-Premise Data Warehouse, ETL, Business Intelligence, and Analytical Applications are unable to provide agility, elasticity and efficiency that is demanded by today’s business intelligence and analytics workloads.  A modern approach is needed for enterprises to deliver on the mandates of digital transformations.

In with the New

Core Compete brings the expertise to help our customers address their most critical SAS and Data Warehouse modernization requirements. We have worked with more than 50 global enterprises to support their analytics modernization efforts.

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Our Services

Cloud Analytics Modernization Assessment (CAMA)

Executives contemplating a move to the cloud have several questions they need to answer before gaining organizational alignment and moving forward. We engage with our clients in 4-6 weeks to achieve organizational alignment and develop a roadmap that guides the cloud analytics journey.

Cloud Data Warehouse

Core Compete provides the full range of services to help you plan, build and migrate your on-prem data warehouses to a cloud data lakes and cloud data warehouses.

Our Cloud Data Warehouse planning services help you figure out the right technology and approach to creating / migrating to a CDW. Our CDW accelerators reduce the risks of the migration while accelerating your migrations. We specialize in Teradata / Netezza / Oracle migrations to Google Big Query and Snowflake.

In addition, we bring significant expertise in Spark to migrate your analytical data processing to Spark.

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SAS On-Cloud

SAS is often one of the most important investments that global enterprises have made to support analytics, data management and compliance initiatives.

These organizations are now at a crossroad as they seek to evolve their analytics platforms to be open, cloud based and elastic. They are asking questions such as:

  • How can we migrate our SAS platform to an open, cloud-based environment to improve the performance of our current systems and models?
  • How can we evolve our analytics usage to expand to leverage deep learning and machine learning models?
  • How can we right-size the SAS environment and leverage open source technologies?
  • How can we reduce the cost of shared storage and still achieve high I/O for our SAS workloads?

Through our decades of experience with SAS, we take an approach of helping clients think through the commercial and technical concerns with SAS and address these issues in a targeted manner. We leverage our cloud and open-source knowledge to provide the best architecture and consumption patterns for the evolved analytics platforms.

Featured Projects

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 BI & Analytics Roadmap

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Cloud Data Warehouse Modernization

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SAS Optimization

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SAS on Cloud Migration

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SAS on Cloud

Cloud Analytics Modernization Assessment (CAMA)

Executives that are contemplating a move to the cloud have several questions they need to answer and gain organizational alignment on before they can proceed. We engage with our clients in 4-6 weeks to achieve organizational alignment and to develop a roadmap that guides the cloud analytics journey.

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Cloud Analytics Modernization Assessment (CAMA)

Senior executives at our customers are faced with the following questions:

  • How do we migrate our current workloads with minimal disruption?
  • How do we ensure that we can meet the regulatory and privacy expectations on the cloud?
  • How can we architect our workloads to leverage cloud elasticity and achieve the expected performance gains and cost reductions?
  • What is the priority of the workloads to migrate?
  • What is the right technology and solution architecture?

In the CAMA engagement, Core Compete consultants partner with the executives at our client organizations to deliver:

Analytic Maturity Assessment

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Where do different departments in your organization stack up in terms of their analytic maturity?

What is the quality of the data and data capture?

Capability Roadmap & Vision Demos

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What is the right roadmap by functional group to achieve the next stage of maturity?

Illustrate the future state through demos and sample capabilities

Technology Roadmap & Investment Model

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What are the right technical options for achieving our goals?

What is the right sequence for migrations?

What are the investments needed and the potential ROI?

Operating Model Definition

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What will be the roles and decision rights in the future state organization?

Who is responsible for BAU support, data operations and on-going improvements?

Cloud Analytics Modernization Assessment (CAMA)

We partner with senior executives at our customers to create an organizational roadmap. We provide a framework to help our customers answer questions such as:

  • What is our BI & Analytics maturity? What are the right foundations and what should we aspire to become?
  • What are the right capabilities and business use-cases to create the maximum impact?
  • How do we get the executive team on the same page with regard to the priorities and develop a shared vision?
  • What is the right technology?

Evolve Your Analytics Platform

Executives that are contemplating a move to the cloud have several questions they need to answer and gain organizational alignment on before they can proceed.

  • How do we migrate our current workloads with minimal risk and disruption?
  • How do we ensure that we can meet the regulatory and privacy expectations on the cloud?
  • How do we achieve the expected improvements in performance?
  • How can we architect our workloads to leverage cloud elasticity?
  • How can we reduce our administrative burdens while retaining control?
  • What is the right technology and solution architecture?

Connect with our Analytics Modernization Specialists

Kumar Majety

EXECUTIVE CONSULTANT

Kumar has over 20 years consulting, product management and marketing leadership experience and with a focus on delivering modernized analytics for global 1000 clients. He has worked at Lenovo, Intel and PWC in on innovative architecture and technology solutions. He has an MBA from Kellogg School of Management and graduate degree in technology. He enjoys his family and practices yoga and meditation.

David Park

SENIOR VICE PRESIDENT, DELIVERY

David has a passion for using leading edge technology and analytics to deliver modern analytics platforms that solve real world business problems for customers. His has held executive positions in financial and software organizations including Accenture, Credit Suisse, Lehman Brothers, SAS, Freddie Mac and First Citizens Bank. He has degrees from Princeton and UNC-Kenan Flagler and enjoys competitive sports including soccer and basketball.

Siddharth Prasad

TECHNICAL ARCHITECT

Sid has over 10 years of experience in designing and architecticing modern analytics and technology environments. Having worked on 3 continents at SAS and Allianz, Sid has not only a worldwide view of technology, but he has developed an enthusiasm for exploring new places and always learning new things.

Rohit Shetty

SENIOR SOLUTIONS ARCHITECT

Rohit started his career with Accenture followed by SAS R&D where he consulted in the telecom, manufacturing and retail industries. His focus in on developing innovative, modern analytics environments including SAS solutions on cloud with big data. He also has extensive work with AWS, GCP, Hortonworks and other emerging technologies. Outside work Rohit loves to sing and play the guitar.

Request a Briefing

Let’s Connect

Make a connection with one of our specialists to:

  • Learn how cloud analytics can drive business value in your organization
  • Understand how other companies are transforming their business and using AI and ML
  • Identify specific use cases where you can implement a transformation project as soon as 3 months