Retail Archives - Page 3 of 3

Blog Industry: Retail

Unleash the Full Potential of Data Processing: A Roadmap to Leveraging Databricks

Efficient data processing is vital for organizations in today’s data-driven landscape. Data ingestion service, Databricks Auto Loader, streamlines the complex data loading process, saving time and resources. Learn how Tiger Analytics used Databricks to manage massive file influx and enable near real-time processing, enhancing data quality and accelerating decision-making.

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.

Harnessing own Retail’s Ring of Power with GCP

Since most retail organizations already have a recommender engine of some sort, why aren’t all of them able to harness it effectively to derive powerful customer insights? Read how we built a 360-degree Customer View in GCP to solve this issue for our client.

How to Design your own Data Lake Framework in AWS

Learn how you can efficiently build a Data Lakehouse with Tiger Data Fabric’s reusable framework. We leverage AWS’s native services and open-source tools in a modular, multi-layered architecture. Explore our insights and core principles to tailor a solution for your unique data challenges.

Why Organizations need a Cloud Data Engineering Council

With enterprise cloud modernization plans, organizations face the pressure to boost IT spending on cloud data strategy. A Cloud Data Engineering Council is essential for reducing IT costs, enhancing data management, enforcing security policies, and ensuring compliance. Read how to set up a Cloud Data Engineering Council and more…

How to integrate Tableau and Python and why it’s necessary

Tableau and Python, as leading data analytics and AI tools, offer distinct capabilities. Python excels in data visualization and processing, while Tableau specializes in creating diverse data charts. Read on to learn how you can integrate them for superior outcomes and results.

Revolutionizing ROI: Tiger Analytics’ Smart Maintenance Framework

Explore Tiger Analytics’ comprehensive framework for optimizing ROI in smart maintenance, emphasizing product, service, field, and customer excellence. Discover how AI-driven solutions revolutionize industrial operations and enhance customer satisfaction.

Why India-Targeted AI Matters: Exploring Opportunities and Challenges

The scope for AI-focused innovation is tremendous, given India’s status as one of the fastest-growing economies with the second-largest population globally. Explore the challenges and opportunities for AI in India.

Building Data Engineering Solutions: A Step-by-Step Guide with AWS

In this article, delve into the intricacies of an AWS-based Analytics pipeline. Learn to apply this design thinking to tackle similar challenges you might encounter and in order to streamline data workflows.

AdTech for Dummies: Navigating the Advertising Technology Landscape

Discover why AdTech (Advertising Technology) plays a crucial role in digital advertising and why this is such a big deal for many industries. Get up close and personal to know all about ad networks, exchanges, DSPs, and SSPs and see how AdTech streamlines ad buying and enables precise audience targeting.

Blog Industry: Retail

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