5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption) (2024)

5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption) (1)

5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption) (2)

Presented by

Sumesh Nair, Enterprise Architect - Data Strategy & Architecture at Tata Consultancy Services

About this talk

Big Data & Analytics is transforming to Big Data "for" Analytics where the lines are blurring between Data Management principles & Self Service driven Analytics architecture with emphasis on Automation. This session will give you focused approach to the five A's for Big Data Success for every Analytics driven organization advocating freedom to "citizen analysts" or "citizen data scientists" with a balance on cost & security; with a flavor of Azure Cloud. Here we are considering that most organizations have already adopted a Cloud Journey & Agile operating model is a de-facto.Key Takeaways:We will go through some practical scenarios on each of the 5As with an eye for infrastructure cost, security & compliance- Agility - Data Agility is when your data can move at the speed of your business needs. We will go through some considerations on how to achieve need for speed through different technologies like CDC, APIs, IoT, Kafka & self-service model of data sharing & reporting. Also, how to build a framework to stimulate Innovation to stay ahead of the curve- Automation – A Stitch in Time Saves Nine. Industry is moving ahead from IAC & CI/CD being an afterthought to automation first approach- Accessibility - Provisioning access to ERP/Source system data is priority#1. - Accuracy - Data Quality should be at the heart of your ecosystem as it is most needed to gain business trust, we will touch upon key levers & design methods to implement it- Adoption: Data Marketplace - How can I sell my data should be the first question that should strike your mind before investing effort to bring data. How to prioritize the right data elements & how to increase adoption by giving visibility through Data Catalog, Ontology, & APIs. We will also go through methods of introducing self-service data science sandbox for experimentation to increase for citizen data scientists.- Cost, Security & Compliance - Infrastructure Cost, Security & Compliance cuts across all the 5 A's.

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5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption) (2024)

FAQs

What are the 5 characteristics of big data? ›

Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.

What are the 5 P's of big data? ›

In this article, we define the 5P of D&A measurement, i.e., purpose, plan, process, people and performance. These rules can help enterprises in measuring business outcomes in a reliable manner, avoid some of the common mistakes and achieve better business outcomes.

What are the 5 V's of data? ›

The 5 Vs in Big Data are Volume, Velocity, Variety, Veracity, and Value.

What are the five most important elements needed to implement a data analytics effort? ›

When considering data analytics, there are five essential elements you need to take into account:
  • Collecting data.
  • Data analysis.
  • Reporting results.
  • Improving processes.
  • Building a data-driven culture.

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