Systems | Development | Analytics | API | Testing

Globe Telecom, one of the largest providers of digital services in the Philippines, was operating in a saturated market with limited opportunity to expand. Any strategy for growth depended on nurturing customer relationships and fostering lifelong value with each customer. For Globe Telecom, getting customer data was never the problem — telecom companies produce terabytes of data every day.

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.

To IT leaders, it’s obvious that data strategy deserves a special place at the table for any discussion about strategic business initiatives. However, for CMOs and CROs like myself, who must justify and weigh expenditures against bottom line impact, investing in customer data typically looks like a red-ink proposition.

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The Top 5 Takeaways: Maybe your primary focus is online retail. Maybe you just have a small digital store selling merchandise relating to your main business concerns. Whatever the size of your e-commerce venture, integrating your systems and data is vital. You’re probably already dealing with a number of different platforms and SaaS providers, integrating with their APIs and their services to help run your business more smoothly.

Companies move as fast as their slowest insight. In the era of big data, information is often produced faster than it can be consolidated and analyzed throughout the Enterprise. Analysts battle for the limited engineering resources, so they can construct data sets for their analytics endeavors to ultimately provide insights to fast-growing enterprises.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.

At the DataOps Unleashed 2022 conference, Luis Carlos Cruz Huertas, Head of Technology Infrastructure & Automation at DBS Bank, discussed how the bank has developed a framework whereby they translate millions of telemetry data points into actionable recommendations and even self-healing capabilities.

The keynote presentation at DataOps Unleashed 2022 featured a roundtable panel discussion on the State of DataOps and the Modern Data Stack. Moderated by Unravel Data Co-Founder and CEO Kunal Agarwal, this session features insights from three investors who have a unique vantage point on what’s changing and emerging in the modern data world, the effects of these changes, and the opportunities being created.