Data & Intelligence

3 Essential Elements of an Intelligent Data Platform

There are 4 major shifts in the market for data integration:

  • Moving from a massive enterprise data warehouse to Hadoop for cost savings
  • Moving from enterprise data models to data lake architecture for a quick time-to-value when on-boarding new data
  • Hybrid on-premises/cloud approaches including a variety of enterprise SaaS applications
  • Real-time streaming analytics and self-service analytics with faster time-to-insight
Data Intelligence - The Future of Big Data
The Future of Big Data

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To accommodate these data integration changes, our customers are constantly looking to streamline these 3 aspects of data management:

  • Data Governance: A decade ago, data governance was a logical representation of people, process, and technology coming together to discuss how data can operationally support business processes. With Hadoop going main stream, data governance was put on the back burner. With cloud and on-premises iPaaS services, and an agile delivery protocol, data governance became overhead for projects. However, governance plays a key role in accountability and a business context for a direct bottom line impact.
  • Data Security: While Big Data and open source is picking up, the developer community creates open source platforms and code which can ingest, transform, and govern data. Although database security is a mature area, record level data security has been a nuance for many large organizations dealing with petabytes of data. Companies such as Informatica have been offering data security to manage that data, including access levels and audits for transparency.
  • Data Catalog: Companies have so many options: SaaS applications, on-premises or cloud iPaaS, and on-premises or cloud databases. There are 3000+ enterprise level applications and they are growing with small startups every day. However, an important consideration to manage this variety is the exercise of cataloging data for a business analyst to easily find the data they are looking for. As Amit Wahlia (EVP, Informatica) calls it, “Google of the Enterprise”.

A technology platform should incorporate all of the previously mentioned aspects of data integration, and should be easy to use with options for connectivity to many different application types. Perficient partners with leading vendors like Informatica and works with numerous clients on their successful journey to an intelligent data management platform. Connect with us to learn more.

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Arvind Murali, Chief Data Strategist

Arvind Murali is the Chief Data Strategist for Data Governance with Perficient. His role includes defining data strategy and governance to deliver transformative data platforms. Arvind has served as an executive advisor for data strategy and governance to organizations across several industries. Arvind’s dedication to solving challenges and identifying new opportunities has provided valuable business-focused results for clients, such as providing self-service access to data for global sales teams; helping physicians create informed wellness plans; and delivering insights about current supply chain inventories. He is a passionate Vlogger on YouTube and discusses real-world insights, data platform trends, and the importance of governance as big data continues its exponential growth.

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