Data and Analytics
In the age of Digital Transformation, data plays a vital role in an organization's ability to gain critical insights into its business. Data-driven decisions allow your organizations to be more efficient and identify revenue streams that may not have been apparent.
SVAM International helps its clients by providing a holistic approach to solving the Data & Analytics challenges through big data analytics services that most organizations face. We help uncover the critical data elements across the IT landscape and architect a scalable Business Intelligence environment that meets the needs of the entire enterprise. Our data & analytics solutions are developed by leveraging best practices in Data Management / Governance and Self-Service reporting to ensure data consistency and business adoption.
We start most engagements with a tool-agnostic approach and focus on our clients' data challenges. As we solve the critical data issues which may include changes in the ERP or other transactional systems as well as the implementation of a comprehensive master data management solution. Once the data challenges are addressed we help our clients select the best tools to fit their requirements based on their size, landscape, complexity, and data requirements. Our experience in offering data & analytics solutions across major technology platforms, including SAP BI, Microsoft Azure BI, Qlikview, Snowflake, Tableau, and SAS, allow us to develop comprehensive solutions for our clients.

SVAM'S Expertise
in Data and Analytics
End-to-End Capabilities from Process Analysis, KPI identification to Development
Experience with a Full Range of Tools, Products including SAP suite, Cognos, Oracle, Qlikview, and Microsoft
Strong ERP expertise in SAP, Oracle, Microsoft Dynamics to customize the transactional systems to align with the Data requirements for the organization.
Strong Knowledge of applying Data Warehousing & Data Modeling to solve complex data challenges
A dedicated team of Certified BI Consultants
Experience in providing Analytical and Predictive modeling expertise with the use of tools such as SAS and R Programming.
Industries Where Data and Analytics Can Be Used
Amidst the massive amount of data, it is imperative to maintain and store the data in an organized way. Some industries that deal with large amounts of data areHealthcare
Technology
Entertainment
Travel & Hospitality
Retail
Real Estate
Finance and more