Resource Categories: EBook

Sports and gaming companies need to bring together a wide array of data to create a unique customer 360 view for their industries (fan 360), which allows them to power insights such as opportunities to reduce customer churn and maximize customer lifetime value.

The industry can meet these data challenges using effective data science. Read on to learn about 11 data science best practices for achieving Fan 360.

Check out this ebook to learn:

• Essential steps for effective fan segmentation
• The benefits of using a data clean room for analysis
• 5 key things to look for in best-in-class data ingestion and integration tools

Get the ebook now.

A sea of change has occurred in how consumers, retailers, and brands interact. Once plagued by supply chain disruptions, out-of-stocks, and frustrated customers, retailers and consumer companies alike are now turning to the power of data to gain insights that are shaping important retail trends, especially as the ongoing challenges of economic uncertainty and continued inflation confront all of us. Learn the 5 key trends in the retail and CPG industry, including:

• Live data sharing and the transformation of supply chain and inventory planning
• ESG initiatives setting standards for tracking, measurement, and reporting with support from data collaboration
• Enhanced retail experiences through data-driven personalization

Download this ebook now to learn all 5 trends that are transforming the retail & CPG industry.

Data engineers, are you ready to make the most of your free Snowflake trial? This guide will help you maximize your experience working with Snowflake’s platform by providing you with guidelines and key steps to follow when preparing and querying data. Highlights include:

• Plan how you will use your $400 in credits

• Create target tables

• Create test scenarios using a subset of your data

Check out this ebook to learn six best practices for life sciences companies to build a powerful data-driven commercial strategy.

You might be eager to take advantage of machine learning (ML) technologies to bring predictive power to your business and analyze data on a deeper level. With new cloud-based ML technologies, you can:

• Innovate and gain a competitive advantage through automated data analysis.

• Provide your IT teams with the latest technologies they need to build new solutions.

• Give your developers the tools to optimize their code and focus on the strategic work of building ML models.

Enterprises are under increasing pressure to address social, environmental, and other responsible outcomes in their digital operations. To stay ahead of the curve, data management and analytics professionals have begun to address such topics as ethics, equity, fairness, safety, and sustainability in their strategic planning and operational practices.

This TDWI Best Practices Report examines where organizations are today in terms of responsible data and analytics and what work they still need to do. It also addresses organizational imperatives and technologies to help organizations become more responsible.

The decision to adopt multiple public clouds is smart for both technology and operational reasons. Government organizations in particular can benefit from a multi-cloud strategy. These organizations are under pressure from legislative bodies to increase public access to certain collections of government data in order to increase transparency and improve citizen experiences, while strengthening security, optimizing performance and reliability, consolidating data across agencies, reducing costs, and increasing operational efficiencies of IT resources across agencies and programs. The right multi-cloud strategy can help to meet all of these requirements.

However, multi-cloud falls short due to present-day limitations with data portability and the unintended creation of data silos within geographies and cloud providers. Secure data sharing across regions and clouds won’t happen until cross-cloud exists, enabling the free and secure movement of data on a global scale.

This eBook examines the benefits and current limitations of multi-cloud today and introduces cross-cloud as the missing piece in the global data puzzle.

The pressure to efficiently manage the supply chain has never been greater—and distribution, fulfillment, and inventory planning have become the new battlegrounds to get the right product to the right place at the right time.

But proactive supply chain management often goes by the wayside when managers, analysts, and planners must sift through disparate enterprise systems and point solutions to access actionable data. This playbook dives into the four key barriers that bog down business teams and how to solve for them, including:

• Data silos caused by lack of access to timely, SKU-level data across store footprints and ecommerce channels in a single platform
• Forecasting challenges due to outdated and incomplete data
• Inability to share and access data from manufacturers and distributors in a timely and seamless fashion
• Slow implementation of new digital applications with the necessary data that enables new fulfillment methods and hybrid shopping options

In today’s fast-moving, highly competitive market, media and entertainment companies need to rapidly develop in-depth subscriber insights to identify the most effective marketing strategies and business decisions. Companies need to bring together a wide array of data to create a subscriber 360 view, which allows them to power insights such as opportunities to reduce customer churn and maximize customer lifetime value.

The industry can meet these data challenges using effective data science. Read on to learn about 11 data science best practices for achieving Subscriber 360.

Check out this ebook to learn:

• Essential steps for effective subscriber segmentation
• Why it’s important to practice model validation
• 5 key things to look for in best-in-class data ingestion and integration tools

Get the ebook now.