We believe business decision making is a science than art. Our science-based, data-driven and collaborative approach ensures your success recurrently. DataTheta is created to remove guess work from your decision-making process and add certainty to it through innovation and passion.

Mathematical Algorithm

We are mathematicians, data engineers, data analysts and data scientists. We know which question to ask to your data and get actionable answers that would benefit your business

Business Acumen

We understand your business and  your problems. We exist to bring technology and data science to your table to ask the right questions to solve your business problems.

Technology

Technology is our middle name. Data need to be cleaned, sorted, displayed and applied math on it. We are canny with tech stacks that handle the data at any scale, speed and structure.

Key capability pillars in CPG

1. Route to Market (RTM)

One of the persistent queries faced by sales teams in the consumer-packaged goods (CPG) industry is how to ensure the right products are available in the appropriate locations at the optimal prices.

Implementing artificial intelligence (AI) aids in achieving this objective by facilitating product placement and enhancing store execution. Through an integrated and scalable AI-driven approach, CPG enterprises can establish meaningful connections with shoppers, thereby replacing manual and disjointed decision-making processes.

2. Net Revenue Management (NRM)

Net Revenue Management (NRM) has emerged as a vital approach for value creation in the consumer-packaged goods (CPG) industry. This model emphasizes the creation of value for businesses and stakeholders, leading to substantial growth in revenue and improved
profitability.

To establish a strong foundation for disciplined NRM, CPG companies must develop core capabilities across five essential sectors within the NRM framework

3. Integrated Marketing Effectiveness (IME)

Integrated marketing effectiveness in CPG refers to the measurement and evaluation of the overall impact and success of marketing efforts across multiple channels and touchpoints.

It involves assessing how well different marketing activities work together to achieve the desired objectives and drive business results in the consumer-packaged goods industry.

4. Supply Chain Analytics

Supply chain analytics in the consumer-packaged goods (CPG) industry refers to the use of data analysis and advanced analytics techniques to optimize and improve various aspects of the supply chain.

It involves collecting, analyzing, and interpreting data related to the movement of goods, inventory levels, demand patterns, production processes, and distribution networks within the CPG supply chain

5. Digital Commerce & Consumer analytics

Digital analytics plays a crucial role in the ecommerce industry, providing valuable insights into customer behavior, website performance, marketing effectiveness, and overall
business success. Here are some key use cases of digital analytics for ecommerce industries.

Route to Market

The route-to-market (RTM) journey comprises five distinct sections

  • Sales Location Determination
  • Product Assortment Customization
  • Demand Forecasting
  • Sales Force Optimization
  • In-store shelf analytics

Net Revenue Management

To establish a strong foundation for disciplined NRM, We develop core capabilities across five essential sectors within the NRM framework.

  • Promotion Optimization
  • Pricing Strategy
  • Trade Spend Optimization
  • Effective Brand Positioning
  • Marketing Mix Optimization

Supply Chain Analytics

The goal of supply chain analytics in CPG is to gain actionable insights and make data-driven decisions that enhance efficiency, reduce costs, improve customer service, and drive overall supply chain performance. Key areas addressed by supply chain analytics in CPG pan across the entire supply chain processes including

  • Planning
  • Sourcing
  • Manufacturing
  • Delivery

 

Digital Commerce & Consumer analytics

Digital analytics plays a crucial role in the ecommerce industry, providing valuable insights into customer behavior, website performance, marketing effectiveness, and overall business success. Here are some key use cases of digital analytics for ecommerce industries.

  • Customer Journey Analysis
  • Conversion Rate Optimization
  • User Segmentation and Personalization
  • Marketing Campaign Performance
  • Website Performance Monitoring
  • Consumer Lifetime Value (CLV) Analysis

We partner with you to transform your company into a data-driven enterprise

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Our Team

Checkout our featured resources to know about our thought leadership, cases studies and more. We are all ears for you. Let us discuss if you have any queries.

Easter Prince
Chief Technical Officer
Satish Harkal
Data Engineering Lead
Abhishek Keshav
Chief Revenue Officer
Nancy Paulraj
Data Engineering Lead

Resources

Checkout our featured resources to know about our thought leadership, cases studies and more. We are all ears for you. Let us discuss if you have any queries.

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