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Pain points in sales: data management and analytics

March 12, 2026Vilma Rinkinen

Data management and analytics: the challenge everyone recognizes but no one has solved

Data management and analytics rose to the top of sales challenges with 594 mentions. It shares the lead with sales process quality and together they form the dominant theme across the entire dataset. From 594 mentions, one conclusion is clear: the same challenge repeats in different forms across every type of organization, team and role. Leadership recognizes it, and salespeople struggle with it every day.

The data exists, which in itself is not the problem. It lives in the CRM, in emails, in meeting notes and in post-call messages. The problem is that it is everywhere and at the same time nowhere. When fragmented, it reveals nothing about the full picture of a customer relationship, team performance or deal probability. It is raw material that produces no conclusions.

Leadership is flying blind

Sales leaders want more visibility, more accurate forecasts and a better understanding of what is happening in the field. Yet 93 percent of them cannot predict their quarterly result. That figure describes a situation where the foundation beneath leadership decisions is thinner than anyone wants to admit out loud.

Salespeople report what they consider relevant. At best, the CRM fills up half-complete because no one feels ownership over the task. Leadership reads summaries of summaries and makes decisions based on what the salesperson remembered to share during a five-minute slot in the weekly meeting. Everyone in this chain believes they have done the right thing. Yet the whole produces something that serves no one.

Where information disappears

Every customer interaction produces information. The customer shares their situation, priorities, needs and challenges. Some of this ends up in notes, some in email, much of it is forgotten. Between interactions, information lives in the salesperson's memory, not in a system. When a salesperson leaves or when leadership wants to understand the full picture of an account, that information is gone.

CRM data is quantitative by nature: how many meetings were held, what stage the deal is at and when there was last contact. What it does not tell you is what the customer said in the first meeting, why the proposal was rejected or on what basis the buying decision was ultimately made. Qualitative information, which is the real capital of sales, is systematically left uncollected. The organization learns far less than it could.

Forecasting as guesswork

Pipeline management is one of leadership's most critical tasks. It requires knowing which deals are progressing, at what pace and with what probability. This demands data from actual interactions. Without it, pipeline management relies on salespeople's own assessments of their own deals, which is an inherently optimistic source.

The end of the quarter is a reactive scramble in many organizations. Leadership accelerates, salespeople accelerate, discounts are given hastily and decisions are sought under pressure. Much of this urgency is preventable if only the forecast were based on real data rather than memory. Organizations where forecasting is accurate are not luckier. They simply learn the true state of their deals earlier.

The end-of-quarter rush is often a sign that information arrived too late. And it did not arrive late because it did not exist.

Leading with data

The data management problem is solved by changing how information accumulates. When interactions are recorded automatically, the quality of documentation no longer depends on a salesperson's memory or motivation. Information is comprehensive because its creation is not anyone's decision.

Revial joins meetings automatically, captures the content of the interaction and transfers the relevant information directly to the CRM without manual effort. Leadership sees what is actually being discussed in customer meetings: which objections recur, where deals stall and how different salespeople's interactions differ from one another. Pipeline management shifts from guessing to reasoning. Forecasts start to land.

See how sales leaders use Revial

Next in the series: Sales team skills and coaching.

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