With the immense information available in a data lake, brands can anticipate customer wants and needs.
What it means for teams: Teams access a huge amount of data in a single space, allowing them to move faster and keep up (or get ahead of) competitors.
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A data lakehouse has the scalability and flexibility of a data lake, and the structure and governance of a data warehouse — the best of both worlds. Because of this hybrid quality, organizations can quickly and easily extract insights from all their data, regardless of format or size.
What it means for customers: Customers benefit from unified omnichannel experiences, quicker response times, and improved data security.
What it means for teams: Teams eliminate the need for afghanistan phone number list separate data storage and processing structures, which allows them to unify historical and real-time data all in one place.
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Data literacy
Data literacy is the ability to explore, understand, and communicate with data.
What it means for customers: Customers want to know brands understand them and can help them solve their problems. Organizations that embrace data literacy can have this kind of in-depth knowledge across customer touchpoints.
What it means for teams: Teams with strong data literacy skills build personal, professional, and organizational growth, increasing critical thinking, career opportunities, and data-driven success.
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Top data security trends
Data security, compliance, and governance are always top priorities. Here, 300+ IT leaders detail must-have tools for their data security toolkit.