DataStrike Appoints Senior Vice President of Service Delivery

DataStrike, a leader in data infrastructure services, announced the appointment of Carlo Finotti as its senior vice president of service delivery. A former client-side CIO and COO, Finotti is responsible for defining the strategic vision for DataStrike’s services offerings and technology innovation and building the entirely onshore team responsible for delivering those services to the company’s 200+ clients. DataStrike is the largest onshore provider of data infrastructure services for small- and mid-sized businesses (SMBs). Its end-to-end portfolio includes data management, cloud, enterprise application management and analytics.

“IT is undergoing a major shift given the proliferation of technologies like AI and cloud – with more on the way – and companies are trying to figure it all out, usually without the necessary resources,” said Finotti, senior vice president of service delivery at DataStrike. “They’re looking for a strong partner to guide and support them from strategy to ongoing management. They want to be able to sleep at night, and my entire focus is building the team and delivering the caliber of services that can give them exactly that peace of mind.”

Finotti comes to DataStrike from IT services provider, where he served as head of operations. Prior to, he served as CIO for North American Dental Group, where he led all facets of the organization’s IT function — from application delivery and software development to business intelligence and process automation —serving 240+ affiliated dental practices. Finotti began his career at rue21, leading IT operations and supporting the company’s 1,100+ retail stores.

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Navigating the Data Maze in Mergers and Acquisitions: A Guide to Seamless Data Integration

In the business world, when major companies decide to combine, it’s a big deal. These moves shake up the norm and can turn not only the organizations, but the entire industry on its head. But as the dust settles on the agreement, a new challenge looms large on the horizon: how to bring together two different sets of data into one without jeopardizing customer experience.

As a developer of a customer data platform (CDP), I’ve observed first-hand the challenges and opportunities that arise during these transitions where data is involved. In this article, I’ll share insights on why effective data integration is critical in M&A scenarios and outline best practices to ensure a smooth, efficient, and value-generating process.

The Dance of Data: A Merger’s Make-or-Break Moment

Mergers bring together not just the businesses themselves on paper, but also diverse customer groups and distinct corporate cultures. Combining these elements successfully requires well-orchestrated data integration. It’s this integration that allows businesses to grasp the complete landscape of a newly combined customer base. Understanding this landscape is essential—it empowers them to serve customers more effectively and unlocks the potential for strategic cross-selling opportunities.

As Bill Gates once wrote, “The most meaningful way to differentiate your company from your competition, the best way to put distance between you and the crowd, is to do an outstanding job with information. How you gather, manage, and use information will determine whether you win or lose.” That’s never more true than in the world of M&A, where data integration is the key to accessing operational synergies, amplifying strategies, and deepening customer engagement.

When Amazon bought Whole Foods for $13.7 billion back in 2017, it wasn’t just about absorbing a national grocery chain. It was a masterclass in merging worlds. Amazon, with its tech dominance and data expertise, brought Whole Foods into the future. They tuned into customer preferences with precision, streamlined store operations, and expanded Whole Foods’ customer base.

Once the merger was complete, the grocery chain began using data for targeted promotions and discounts to Amazon Prime members. It also shifted to a centralized model to better manage local and national products, and stores adopted a just-in-time approach for stocking perishable food, streamlining inventory, and ensuring freshness.

This example highlights the potential for data integration to accelerate business wins and tap into new audiences. But to make the most of the opportunity, there are several important steps involved.

Finally, by pinpointing potential risks, from compliance issues to data security, you’re not just planning for a smooth merger—you’re building a resilient, long-term data infrastructure. This is the path to successful data integration, one where clear goals, the right tools, impeccable data, open communication, and empowered people come together to create a whole that’s greater than the sum of its parts.

Data integration in the context of M&A is more than a technical challenge; it’s a strategic initiative that can significantly influence the merged entity’s future trajectory. A methodical, goal-oriented approach that prioritizes data quality, stakeholder engagement, and the use of sophisticated integration tools will serve as a foundation for success.

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