CPG Archives - Tiger Analytics

Blog Industry: CPG

Building AI-Ready Data Products at Scale: Inside the Tiger Analytics Industry Domain Framework

Scaling AI-ready data products requires embedding context, ownership, and trust into how data is designed and consumed. As enterprises move from isolated use cases to interconnected ecosystems, fragmented metrics, siloed teams, and weak governance can limit both adoption and impact. Our Industry Domain Framework addresses this by combining domain-driven design, interoperable architecture, and persona-linked intelligence to create data products that are not only reusable and scalable, but also interpretable and actionable. The result is a connected blueprint that enables organizations to move from data proliferation to decision intelligence at scale.

How Policies-as-Code Enable Trusted, Interoperable Systems: The Data Leader’s Guide to Computational Governance

Traditional governance can’t keep up with fragmented, high-speed enterprise ecosystems. This blog breaks down how Policies-as-Code and computational governance embed trust, compliance, and interoperability directly into systems. Read on to see the tech pillars, real-world use cases, and what it takes to operationalize governance at scale.

Reimagine and Reengineer the Enterprise with AI

This article is a guide to enterprise AI transformation. It proposes a dual strategy of reimagining business functions while simultaneously reengineering the technology landscape with a scalable AI platform and agents. True value is unlocked by merging this top-down strategy with a bottom-up, human-centric “AI for Personas” approach to drive widespread adoption and solve real-world integration challenges. This framework enables organizations to unlock efficiencies, foster innovation, and sustain a competitive advantage.

Leveraging Customer Digital Twins to Drive Hyper-Personalization: A Strategic Roadmap for Retail and CPG Leaders

Customer Digital Twins (CDTs) are fast replacing static segmentation in retail and CPG with privacy-first, real-time customer models that let you simulate behavior, test campaigns, and predict outcomes at the individual level. Read the blog to know more about how to build and scale CDTs responsibly, balancing personalization with trust.

How AI can help CPG companies unlock real value through in-store trade promotions

In the competitive retail sphere, Consumer Packaged Goods (CPG) companies use in-store trade promotions to increase sales. However, the success rate of these promotions is often inconsistent. By employing AI and data analytics, companies can gain valuable insights into consumer behavior, enabling more effective promotional strategies and improved ROI.

How Tiger’s Data Quality Framework unlocks Improvements in Data Quality

Accurate data is crucial for informed decisions. Organizations must set clear data quality objectives, implement early data quality processes, and deploy IT solutions aligned with business goals to achieve this. Read how utilizing the Tiger Data Quality framework for automation can help enhance efficiency and eliminate manual data quality checks for better outcomes.

Enabling Fivetran Transformations for dbt – a step-by-step approach

Fivetran’s integration with dbt Core in September 2020 has made the transformations for dbt Core available. Learn how you can take advantage of a best-in-class automated cloud data integration experience in a single environment.

Mastering Seamless BI Platform Migration: 8 Key Steps for Data-Driven Success

Learn how Tiger Analytics executed a seamless BI platform migration for a Travel and Logistics company, leveraging Power BI. Walk through the eight key steps for a successful transition, including report rationalization, user analysis, metadata utilization, and effective user training.

Revitalizing Supply Chain Efficiency: How Optimization Transformed a Fortune 500 F&B Company

Discover how Tiger Analytics optimized a Fortune 500 Beverage and Snack company’s supply chain, reducing costs and enhancing visibility. Learn how Gurobi’s mathematical models streamlined product allocation, minimized expenses, and improved customer satisfaction amidst post-pandemic challenges.

CPG Analytics of Today: What Are the Top 5 Current Priorities?

Explore the challenges and opportunities faced by the CPG industry through key trends like demographic shifts, e-commerce growth, and analytics-driven decision-making. Unravel critical areas for CPG manufacturers, such as e-commerce, trade spend effectiveness, pricing, marketing effectiveness, and more.

Trade Promotions and CPG Analytics: How to Unlock True Success

Explore the dynamic world of CPG and see how trade promotions play a critical role. Discover how trade promotion optimization analytics is transforming CPG trade promotions with predictive models, key metrics, and strategies to understand consumer behavior, optimize promotional spend, and more.

Unleash the Force of Sales: How CPG Teams Can Thrive

Discover why sales force effectiveness is critical for CPG manufacturers and how data plays a major role in the process. Uncover the data-led secrets to optimizing sales teams – from simplifying workflows and personalizing strategies to understanding performance metrics and leveraging best practices to empower sales reps.

Blog Industry: CPG

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