Data trends redefine leading brands.

Did you know organizations that put data at the center of their business gain better insights? According to our research, data centricity is now a top priority in 2020 for larger companies. Read “Data trends redefine leading brands” to learn how companies that leverage insights from data for scientific commercial decision-making and data-driven marketing are changing the game.

In this report, see how AI, customer journeys, and analytics are changing the game for customer data insights as well as:

  • Why most organizations consider data-centricity a top priority for 2020
  • That 65% of brands want stronger segmentation and targeting, so data and analytics are a key differentiator
  • How leading brands are leveraging data-driven insights to deliver personalized customer experiences

Critical Success Factors for Data Lake Architecture

The data lake has come a long way.

It is a well-estab­lished design pattern and data architecture for profound applications in data warehousing, reporting, data science, and advanced analytics.

Over the years, users’ expectations, best practices, and business use cases for the data lake have evolved, as have the available data platforms upon which a data lake may be deployed. This evolution is forcing changes in how data lakes are designed, architected, and deployed.

This checklist by TDWI (Transforming Data With Intelligence) and sponsored by Snowflake covers:

  • The many issues, design patterns, and best practices of data architectures with a focus on modernization
  • Practical use cases—in analytics and elsewhere—that a well-constructed data lake architecture can support and nurture
  • The types of data platforms and tools that commonly go into such architectures
  • Why you should expect your data lake to evolve to the cloud