We’ve all been there. You’re trying to make a data-driven decision, but you’re stuck in a queue, waiting for a report, or trying to piece together information from various sources. This isn’t just an inconvenience; it’s hurting productivity, slows down your business, and frustrates your teams. The reality of the data bottleneck In many organizations,
In today’s market, speed and agility are everything. While having a dedicated, highly skilled delivery team is non-negotiable for Salesforce customers, optimizing that team’s structure and location can be the accelerant that drives real competitive advantage. Our Elevate managed services delivery model, which strategically places the Engagement Lead (EL) and the core Salesforce development team
Insights from Atrium’s Dreamforce 2025 Panel with Mitch Zink, Paul Harmon, and Patrick Scherder. TLDR data & AI takeaways: At this year’s Dreamforce, three data and AI leaders took the stage at the Atrium Lounge to unpack one of the most pressing challenges facing modern enterprises: turning data and AI investments into measurable business value.
At Dreamforce last year, I was moderating a panel on guided selling with analytics and AI when an audience member asked how I thought Agentforce would impact analytics solutions. My off-the-cuff response was that in terms of analytics, “the questions remain the same, but now we have another mechanism through which we can deliver those
Sometimes, internal expertise, resource capacity, or time constraints limit an organization’s ability to deliver on its priority initiatives. To meet those needs, many organizations choose to work with a partner like Atrium to implement solutions like Salesforce and CRM Analytics (CRMA), unlocking the full potential of their data through flexibility, optimization, and innovative thinking. One
Tableau Conference 2025 just wrapped up in San Diego. For most attendees, it was full of sessions, meetings, new features, and new concepts. One of the primary themes from Tableau Conference was the new role of analysts and the new product, Tableau Next. Odds are that whether you joined online or in person, the one
Financial services organizations are naturally data-rich. Whether you’re a bank, credit union, wealth management firm, or asset management company, you have access to a wealth of information. But too often, that data is scattered across different systems and departments, like pieces of a jigsaw puzzle. You know the big picture is important, but putting all
Any and every interaction within your organization and with your customers, prospects, vendors, and partners is a data point. This massive amount of data can either be immensely valuable to your business — or completely overwhelming. Whether or not your data is a burden or a boon depends on your ability to analyze and visualize
In today’s world, the volume of data available to businesses is staggering. According to a survey from Gartner, 47% of employees struggle to find the information or data needed to effectively perform their jobs. In other words, the majority of businesses struggle with the ability to extract meaningful insights that contribute to making informed decisions.
As businesses diversify the systems they use to get work done, “data strategy” is a phrase thrown around a lot in the consulting industry. But what does it mean in today’s business context? While specialized technology exists to accomplish specific tasks, data strategy concepts encourage a systematic approach to building and maintaining data storage standards