Core Compete
Contact
Core Compete
Global: Shiva Kommareddi
Americas: Diane Hatcher
EMEA: Daniel Hatton
APAC: Sunil Adlakha
SAS
Steve Klingman
Connect
SAS & Core Compete (SAS Platinum Partner)
Core Compete accelerates SAS analytics in the Cloud, allowing you to quickly realize cloud benefits and innovate at pace with SAS’ leading analytics platform. The team has combined industry knowledge with direct SAS experience to provide breadth and depth of expertise and best practices. Core Compete’s strategic investments in building our cloud capabilities and delivery accelerators is bolstered by strong global technology partnerships with SAS, Snowflake, Databricks, and Tableau. Combined with deep cloud platform partnerships with Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), we are ready to deliver faster results, reduce project risk, and increase the value of your investments in your analytics platform on any cloud.
Focus Areas
SAS on Cloud, Intelligent Decisioning, Forecasting, Supply Chain Optimization, Customer Intelligence, Artificial Intelligence/Machine Learning. Analytics, Visualization, Data Management, SAS Viya
Competencies
Analytics, Visualization, Data Management, SAS Viya
Industries
Banking & Financial Services, Insurance, Retail/CPG, Telco, Manufacturing, Media/Comms/Telco, Healthcare & Life Sciences, Transportation
Specializations
Customer Intelligence
Initiatives
SAS Cloud Modernization
SAS technologies are well-suited for deployment in Cloud platforms, as they can take advantage of different deployment options from VMs to containers, coupled with native cloud database connectors. Core Compete has built a comprehensive assessment methodology and accelerator toolkit to guide your journey to the cloud.
Objective: Lower TCO & Increase SAS Value
SAS Cloud Orchestration
Core Compete has deep experience running SAS workloads in cloud-deployed containers. We can help you to design and orchestrate analytic containers designed to support Data Scientists and/or containers designed to support batch analytic workloads.
Objective: Lower TCO & Increase SAS Value
Decisioning Transformation
There are unique considerations for implementing decisioning systems to ensure that the right decision is made at the right time. Core Compete understands how to manage both batch and real-time decision flows from data management through structuring of decisions to support thousands of decisions per second. Integration with SAS CI 360 can provide a proven end-to-end solution for Next Best Action and other customer experience initiatives.
Objective: Increase SAS Value & Improve Results
Applied AI/ML
Core Compete has a SAS Analytics practice that is experienced in leveraging SAS analytic capabilities to deliver successful results. We have particular expertise in forecasting and optimization to solve problems in supply chain, pricing, and quality processes.
Objective: Increase SAS Value & Improve Results
Managed Services
Core Compete offers full-stack remote managed services for your Cloud platform, with 24x7 monitoring. Both Level 1 and Level 2 support are available to help user adoption and manage environment availability and performance.
Objective: Lower TCO & Increase SAS Value
Other initiatives include Customer Intelligence, IFRS/Risk Reporting performance optimization, and Model Ops integration.
Overview Video
Resources
Overall Partnership
Press Releases
Core Compete Elevated to SAS Platinum Partner Status
SAS Cloud Modernization
Press Releases
Core Compete Launches New Initiative with AWS to Drive More Value from SAS Workloads
Core Compete Featured in CIO Magazine
Customer Stories
Digital Transformation for an Endless Aisle of Parts with Fast Availability – the Advanced Auto Parts Story
Digital Transformation to Reduce Inventory and Maximize Availability - the Travis Perkins Story
Better Decision-Making Using SAS and Teradata Migration to BigQuery – a top 10 Media Company Story
Building A Modern Analytics Infrastructure: The Cox Story
Webinars
Evolving Your SAS Analytics to the Cloud
Blogs
SAS Grid Performance Benchmarking with Lustre and SPDS on Microsoft Azure
Google Big Query Storage API Benchmark
White Papers
SAS® Viya®: Autoscaling SAS® Micro Analytic Service (MAS) Nodes Using Compute Virtual Machines on the Google Cloud Platform (pdf)
SAS Cloud Orchestration
Decisioning Transformation
Press Releases
Core Compete Launches New Initiative with AWS to Drive More Value from SAS Workloads
Core Compete Featured in CIO Magazine
Customer Stories
Scaling Machine Learning to Increase Customer Personalization - the Hepsiburada Story
Credit Decisioning and Customer Value Management - the Vanquis Story
Applied AI/ML
Press Releases
Core Compete and SAS Deliver Agile Retail Planning Solutions
Core Compete Achieves AWS Retail Competency Status
Customer Stories
Execute Confidently with Scientific In-Store Experiments - the American Eagle Outfitters Story
Reducing Warranty Costs Through Proactive Customer Sentiment Monitoring - the Lenovo Story
White Papers
Machine Learning Models for Forecasting New and Existing Product Sales Using SAS® Viya® (pdf)
Optimizing Inventory of Slow Moving Parts Using SAS Optimization
About Core Compete
Core Compete is a Cloud Analytics company that delivers value from big data by building innovative solutions and trusted, long-term partnerships with clients in financial services, retail, media and manufacturing across the world.
Core Compete accelerates cloud analytics and digital transformations. We deliver innovative cloud-based solutions and migrations of on-premise workloads to the cloud to deliver agility, TCO reductions, and operational resilience.
Core Compete has strategic partnerships with Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Coupled with strong technology partnerships with SAS, Snowflake, Databricks, and Tableau, we are ready to deliver faster results, reduce project risk, and increase the value of your analytics platform on any cloud. Headquartered in Durham, NC, with offices in Dallas, London, and Hyderabad and Pune, India, Core Compete has delivered more than 300 successful Cloud Analytics implementations with some of the world’s largest organizations.