Advisory Services

Our Expertise for your Business Transformation to reduce total cost of ownership, improve time to market and increase competitiveness

Our Portfolio of Advisory Services

Choose the right service to prioritize solutions for your business challenge

Business Value Assessment(aka BVA)

BVA is an evaluation of the potential business value that you can derive from your data assets. The assessment typically involves analyzing the your data assets, infrastructure, processes, and technologies to identify opportunities to improve the use of data to drive business value. The assessment covers areas such as data quality, data governance, data analytics, data integration, and data security. It may also involve identifying key business use cases where data can be leveraged to drive insights, decision-making, and innovation.

The key objectives are to identify opportunities to:

Improve data quality and reliability
Reduce data management costs
Improve decision-making through the use of data-driven insights
Identify new revenue streams
Enhance customer experience and satisfaction
Optimize business processes
Mitigate risks

Total Cost of Ownership(TCO) Analysis

The goal of TCO analysis is to help organizations make more informed purchasing decisions by providing a comprehensive view of the total costs associated with a product or service.

The key activities to provide TCO Analysis are:

Define the scope of Data and AI Projects
Identify all costs for platform, people and process implementation
Assign Value to costs based on business benefits
Calculate Total cost of ownership
Compare alternative solution - Buy vs Build
Refined and update the analysis

Migration Planning Assessment

Cloud migration planning is the process of preparing to move an organization's data, applications, and infrastructure from on-premises or legacy IT systems to cloud-based infrastructure. The process involves analyzing an organization's existing IT environment, assessing cloud-based solutions, and developing a comprehensive plan to successfully migrate to the cloud.

The Cloud migration planning typically involves several key steps:

Assessing the organization's current IT environment
Identifying cloud solutions
Developing a migration strategy
Preparing for migration
Executing the Migration
Post migration testing and validation

Data & AI Architecture Assessments

Data and AI (Artificial Intelligence) Architecture Assessments are evaluations of an organization's data and AI infrastructure and processes to identify areas for improvement and optimization. The assessment typically involves analyzing an organization's data and AI architecture, technology systems, data governance practices, data management processes, and overall technology strategy.

The key objectives are to identify opportunities to:

Optimize data architecture
Improve data quality
Enhance data governance
Streamline data management processes
Optimize AI infrastructure
Improve overall technology strategy

Compete Analysis

Competitive Data & AI Platform Evaluation is the process of evaluating and comparing different data and AI platforms to determine which one is the best fit for an organization's needs. The evaluation typically involves comparing various platforms based on features, functionality, performance, security, and cost.

The key objectives are:

Identify key features and functionality
Evaluate different platforms
Develop a comparison matrix
Determine the total cost of ownership
Make a recommendation

Performance Tuning

To measure TPC-DH (Transaction Processing Performance Council - Decision Support) benchmark performance, we use the TPC-DS benchmark tools and methodology, which are provided by the Transaction Processing Performance Council.

Here are the basic steps for measuring TPC-DS performance: