Big Data and Analytics in 2022: The Complete Guide

Leverage the transformative power of big data and analytics


Why read the Big Data and Analytics Guide?

Building a strong data foundation, with advanced capabilities in Data Technology or DataTech, is more important than ever, as we go deeper into the third wave of growth of digital technologies in the enterprise. 

The third wave of digital, which we call Digital HyperExpansion (DHX), requires businesses to drive complete data-driven digital lifecycle management across crucial aspects of business - campaigns, infrastructure, products, customers, and more. Doing so is key to discovering new avenues for growth, adapting to customer behavioral changes faster, and maximizing digital revenues. 

Competencies around DataTech—which include data platforms, data engineering, data science, AI-powered data analytics, data governance, and visualization—are essential to build a strategic data ecosystem that enables digital lifecycle management. This ecosystem can help access and safeguard crucial data, derive deep customer insights, and foster new product and service innovation.

This guide aims at drawing the attention of enterprises to the various applications and benefits of big data and analytics technologies.

What you will learn

  • Why is DataTech a crucial focus area for businesses?
  • What are the steps to attaining data science maturity?
  • How does one address the challenges in integrating big data analytics?
  • What are the business applications of big data analytics across industries?
  • Which big data tools and technologies should you consider?
  • How are global Fortune 500 brands benefiting from big data analytics?

Download our guide now to harness the power of big data analytics.

“Big data and analytics are essential to build real-time understanding of your business, extract deeper, contextual insights, and innovate new offerings at scale.”

Mukund Balasubramanian

CTO & Co-Founder, Photon

Mukund Balasubramanian

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