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Data Lake Maturity Model

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What Organizations Seek in Big Data Some organizations want to use data simply to become a little more efficient, while others are seeking radical transformations of their businesses. Wherever you fall on this spectrum, you have a good reason to set up a data lake. Data lakes are large repositories of organizational data characterized by certain best practices in archi‐ tecture, curation, and access, all of which are discussed in this report. But you will flourish more if you prepare your organization thoroughly—your data, technology, people, and processes—for the data lake and if you are willing to consider a transformation of your business. Some specific goals for a data lake include the following: • Integrating new sources of data such as social media feeds or sensor data from the Internet of Things (IoT). • Democratization of data (also known as self-service): business users with little or no programming skill can create their own reports and dashboards tapping specific data sources, without having to wait for overburdened IT staff. • Access to broader ranges of data coupled with better security and privacy guarantees. A business must make sure first to adhere to privacy regulations and protect personal data as well as trade secrets. Within those parameters, a lot of benefits can be achieved by allowing employees access to new data sets. Ulti‐ mately, data lakes can open up communications between com‐ pany divisions, cutting down silos and multiplying the benefits of insights from each division. As for broad business transformations, a good example can be seen at your local pharmacy: CVS, Walgreens, and Walmart, among oth‐ ers. For a long time, these companies made plenty of money as peo‐ ple came in to collect their cholesterol medication or antibiotics, perhaps also picking up cough medicine or toothpaste while they were there. But with the move to online pharmacies and increasing competition from other companies, pharmacies had to evolve. Now they no longer want to be seen as retail outlets, but as wellness insti‐ tutions. They started offering flu shots, then walk-in urgent clinics, and finally guidance for chronic conditions such as smoking or dia‐ betes. In short, they are turning from the sale of individual items to lifelong services. 2 | The Data Lake Maturity Model

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