Data and Analytics - eBook (EN)

Building a Winning Data Strategy

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E X E C U T I V E G U I D E BUILDING A WINNING DATA STRATEGY MIT SLOAN MANAGEMENT REVIEW 24 we talked about and then let people loose with the data, train them to do something useful with it, give them the tools that they need to iterate at their own pace, and have the ability to adapt. As companies move from legacy systems to more mod- ern ones, they're able to take advantage of the best tooling that's in place at any time without having to do ex- pensive migrations or re-platforming. That allows them to do new things with data that they couldn't do before. A simple example: You could use machine learning services to transcribe audio and then start to run sentiment analysis from that audio. So now what used to be a recording is actu- ally data that you can start to run queries on. For instance, "How many of the calls that happened in the last week were positive versus negative, and what does the trend look like?" That's enabled by new technology that any customer on AWS can leverage, even without prior machine learning expertise. Q: What else should companies know about becoming more data-driven? Pathak: We recommend that companies think about modern- izing, that they think about data strategically, and that they set up to future-proof themselves. That means thinking about embracing open data formats and data lakes, thinking about lakehouse architectures so they get the best of data warehous- ing and data lakes, and thinking about how to focus on what differentiates them rather than focusing on the classic undif- ferentiated IT. These things together put you in a position to iterate rapidly, to learn rapidly, as an organization. The faster you're able to learn, the more successful you're going to be, especially as the environment continues to be dynamic. SPONSOR'S VIEWPOINT • 24 "We recommend that companies think about modernizing, that they think about data strategically, and that they set up to future-proof themselves." ABOUT AWS For 14 years, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud platform. AWS offers more than 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence, internet of things, mobile, security, hybrid, virtual and augmented reality, media, and application development, deployment, and management. Services are offered from 77 Availability Zones (AZs) within 24 geographic regions, with announced plans for nine more AZs and three more AWS Regions in Indonesia, Japan, and Spain. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — trust AWS to power their infrastructure, become more agile, and lower costs. Learn more at aws.com/big-data and aws.com/databases. S P O N S O R ' S V I E W P O I N T

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