Tag: Data Infrastructure

Becky, please provide a brief overview of your role and expertise within Orium, particularly in assisting commerce and retail brands with their digital transformation journey?

I’m the VP Digital Programs at Orium, which means I’m the executive sponsor for all projects and programs that fall within this line of business. The duties of an executive sponsor on a project or program at Orium involve providing strategic guidance, oversight, and support throughout the project lifecycle, with specific internal and external duties. Here are some key responsibilities of an executive sponsor in this context:

• Program / customer alignment
• Leadership and support to clients, teams and internal stakeholders
• Strategic decision making
• Stakeholder management in programs
• Risk management in programs

What is the role of composable commerce and MACH architecture, and what is its significance in today’s digital transformation landscape?

When digital commerce first emerged, brands operated two separate sales streams: in-store and online. This isn’t the case anymore, and as the where, when and how of commerce experiences has evolved, retailers have started leveraging a MACH approach (Microservices-based, API-first, Cloud native, and Headless) to overcome the rigidity of older technology stacks and enable them to serve their customers better.

With the growth of the MACH ecosystem, brands are recognizing the value of a composable approach. Composable architectures mean every component is independent, and they’re brought together in a curated, best-for-me system. This means brands can choose each element of their digital services to best meet their specific business model needs. The realities of modern commerce require brands to be able to respond effectively and efficiently to changes in the marketplace and the ability to custom curate and seamlessly integrate solutions is a core part of how brands will grow and thrive in the future.

What challenges do you believe organizations face when considering a transition to MACH architecture, based on your experience working with various brands?

One of the biggest challenges brands face is understanding how to work within this new paradigm. Monolithic solutions can be overly rigid and limiting, but they do take a lot of the decision-making out of the equation. One of the areas I work most closely with our clients on is helping determine both the what and the how— where do they need new tech today to create or seize opportunities and how should they approach implementation to maximize success.

Accelerators are an extremely effective way for brands to take advantage of the interoperability of a composable architecture while streamlining a lot of the early decision-making and integration. Orium’s Composable Accelerators, for example, provide a pre-integrated framework to operate from, which enables brands to launch on a new system in as few as 6 weeks, without compromising the ability to select the vendors that make the most sense for their unique business needs.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-becky-parisotto/ 

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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 XL.net, where he served as head of operations. Prior to XL.net, 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.

Read Full News @ https://ai-techpark.com/datastrike-appoints-senior-vice-president-of-service-delivery/ 

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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.

To Know More, Read Full Article @ https://ai-techpark.com/a-guide-to-mastering-ma-data-integration/ 

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