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Today, no matter where we go, we can see companies from all walks of life are striving to modernize their data foundations. The first preference for modernization is the cloud. The first step in any transformation journey is to understand the data you have. According to Gartner, “By 2022, 90% of corporate strategies will clearly mention data as a key corporate asset, and analysis as an essential capability.”

But before you can get value from the data, you must first find it and understand it. The single most important challenge of becoming a data-driven company is generating more data than ever before. At the same time, these data are scattered in more complex environments, including local, multi-cloud, and hybrid environments. Your data may exist in any number of places like your data center, SaaS application, cloud data lake or a local / on-premises data warehouse. It is important to get the answers to questions like ‘Where is all your data? How do you find it, organize it, and accelerate the speed to value?’. Only when you have answers, you can accelerate any data-driven plan, no matter whether you are looking to:

  • Deliver trusted and regulated data and comply with data-centric regulations,
  • Gain a holistic view of key data,
  • Accelerate time to insights with next-generation analytics,
  • Modernize the infrastructure by moving data sets to the cloud

Why The Cloud Makes Data More Valuable?

Today, data is everywhere. It comes from humans, machines, IoT devices, edge systems-whether on earth or in space. All the data gets piled up. Presently, we generate an astonishing 2.5 terabytes of data every day. But unless it is accessible and widely applicable, all this data is worthless. The challenge is not only to process the huge amount and variety of data from many different sources, but also to realize its full value and make the data worthwhile. This can only be achieved with a truly modern data foundation on the cloud. The cloud is the only place where data has the necessary scale and agility to be accessible, applicable, and ultimately become more valuable.

The cloud-based architecture and platform enable all types of data to be concentrated in one place as a powerful collective resource for the entire enterprise. On the cloud, you can ingest large amounts of data in real time, let all the data work together seamlessly, and then use analytics, artificial intelligence, and automation to adjust the data to suit various use cases. Artificial intelligence-driven data catalogs can help enterprises and IT users easily discover, manage, and popularize trusted data on a large scale easily and efficiently.

Discover the Data You Have

Since data exists in various places (from local data warehouses to cloud applications), gaining visibility into all data is a challenge. To do this at an enterprise scale, you need to:

  • Use advanced Machine Learning algorithms to automate across hybrid and multi-cloud environments,
  • Use simple business terms that can be easily extended to analytics tools and other application environments for smart data searches,
  • Use Artificial Intelligence-driven data set association and linking, and automatic recommendation of data sets based on metadata such as domains, entities, source systems, and usage statistics.

Know and Understand Your Data at Scale

When you understand its context, the data becomes valuable. When you apply business context to data, you make it easier to use, manage and make sense out of it. Smart data catalogs can achieve this at scale with the following features:

  • Automatic domain discovery and classification to automatically identify domains and entities and use this information to tag data,
  • Ability to automatically associate business glossary terms with physical data sets to save thousands of hours of manual work for data administrators,
  • Collaboration to further enrich data and maximize the use of shared data knowledge,
  • The ability to understand data quality through data profiling and track how data quality changes as data flows through the enterprise.

What is a Modern Data Foundation Made Up of Then?

·      Setting Up the Stage

It first asks and answers the following questions: What data do you need and in what form to run and grow your business? This is an important first step in understanding the baseline capabilities required by the data foundation to deliver the desired business results. Then, you need to choose the right cloud service provider that can provide these features based on your current and future goals. Since not all aspects of a modern data foundation on the cloud can be developed at the same time, you need to create a roadmap of which features can be developed immediately and which features can be introduced over time. Focus on MVP approach and try to derive greater value in the future.

·        Take Action (Migration and Modernization)

It is almost always recommended to build automation and configuration tools for data ingestion and management to accelerate the conversion of data to the cloud. AI/ML technology can be used to deal with data engineering and data management challenges. It is very important to build data catalogs and self-service functions to democratize data and make data “citizens” more widely available.

·      Operational Optimization

Managing a modern cloud-based data foundation requires extensive standardization and automation. And for the cloud, continuous optimization is also necessary. In addition, if you want to make full use of data as a valuable asset throughout the enterprise, ensuring data quality and credibility is crucial. As long as your security team has the skills and tools specific to your cloud platform, the cloud can be more secure than a proprietary data center.

By providing visibility into all enterprise data, as well as the ability to collaboratively organize and enrich data, intelligent data catalogs provide a critical first step for data-driven digital transformation. In addition, data catalogs can lead to widespread changes in the way companies handle data:

  • Change the culture and behavior of the entire organization – to achieve cross-functional collaboration around data,
  • Democratize data through self-service analysis – enable more people to use the power of data, and spend less time searching for relevant data,
  • Increase trust and confidence in data – by providing transparency in data sources and quality,
  • Increase productivity and efficiency – by modernizing data infrastructure, eliminating duplicate data and simplifying processes

Let’s talk about how we as one of the leading cloud computing services providers can help you accelerate your data foundation transformation to grow, innovate, and generate sustainable value for your business. If you are looking for an expert cloud computing services companies and need help in strategizing and implementing your digital transformation initiatives, Let us connect.

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Nitin Tappe

After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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