Blog Category: RevOps Strategy

Following a merger or acquisition, companies face a myriad of challenges, with data integration rising as the most pressing. Mergers and acquisitions bring promise of growth and synergy, yet, as reported by Harvard Business Review, a staggering 70 to 90…

The modern data stack (MDS) is a collection of point solutions businesses are cobbling together to aggregate, manage and analyze data. We’ve already documented the issues with this approach here and here.  In this blog, we’ll focus on the DIY…

Customer data sits in many different systems. It is produced every time a customer interacts with your business, or when your teams pull data about customers from external sources like enrichment tools. How this data returns value to customers, through…

Earlier this week, Gartner published a new research article titled “How Tech CEOS at Early-Stage Companies Can Prepare to Implement RevOps.” There was ONE paragraph in the article that popped off the page for me. Why? Customer feedback loops. If…

At Dreamforce 2022, Salesforce unveiled Salesforce Genie (the rabbit) – which promises to turn your data into real-time customer magic. Sounds promising. But if there’s one thing we’ve learned from hit films Aladdin and Kazaam, it’s that when it comes…

I’ve noticed a trend as of late: RevOps professionals debating the best way to build a modern data stack. This may ruffle some feathers – but I think having RevOps build and manage a modern data stack is a terrible…

There’s a lot of noise in recent months about the Modern Data Stack, but not a lot of clarity. What is the Modern Data Stack? The Modern Data Stack is a popular approach to data integration and analytics that relies…

It’s the driving value proposition of customer data platforms (CDP). They help gather, clean, and make sense of customer data collected from various sources and software to improve and personalize sales and marketing activities to specific customer profiles. What exactly…

Legacy systems, customizations, and on-premises, oh my! The goals of master data management (MDM) — improve data quality, reduce inaccuracies, and increase the overall health of corporate data — are commendable and only mean for the best. Who doesn’t want…

RevOps (Revenue Operations) is becoming an increasingly important function in business, as it provides accurate, comprehensive, real-time insights and data that can help decision-makers. These tips include meeting the rising demands of data consumers, building a foundation of clean and clear…

The Dreamforce 2020 keynote has come and gone. While there were some surprises, the top-level narrative was consistent with years past: You need a single view of your customer / Customer 360 

Every day I see another SaaS app go ‘must-have’ viral and I wonder how long the center can hold. When the average midsize startup uses 123 SaaS tools (enterprises use thousands) and 78 percent of organizations are increasing their spend…

Controversial opinion: The biggest thing standing in the way of most CTOs’ success is the impulse to build their own infrastructure. In the past, engineering teams had little choice but to build tools—because there weren’t any better options available. Before…

30% of new integration projects will use AI technology for faster delivery by 2022. — Gartner   This is part 5 of my 5-part series about the cost of bad data. Read the previous post here. The Syncari solution Let…

“What I want is to make sure that good data isn’t corrupted by bad data from a system that has no right updating that field.” — Rob Zare The need for a smarter sync Every company that relies on data…

 “Automation applied to an inefficient process will magnify the inefficiency.” – Bill Gates This is part 3 of my 5-part series about the cost of bad data. Read the previous post here. The added threat of system-specific AI System-specific machine…

When Apple’s iPhone launched in 2007, Microsoft’s CEO Steve Ballmer made a prediction that now seems foolish: That the iPhone would never earn any significant market share. Today, Apple controls one quarter of mobile phone sales globally. How did a…

This is part 2 of my 5-part series about the cost of bad data. Read the previous post here. The Economist calls data the oil of the 21st century and considering the quality at most companies, one has to imagine…