A Chief Revenue Officer told us last week: “I don’t like charts, dashboards or visuals. At this stage, I need a two-line summary and two bullet points. Per day.”
For a company that builds dashboards for a living, that was a shock. We spend a good part of our week deciding which chart fits which metric, which colour signals risk, which filter a sales team will actually use. And here was a senior revenue leader telling us, calmly, that he did not want any of it.
He was not being difficult. He was being precise. His company is at a stage where every day brings a few decisions that matter and a lot of noise that does not. He does not have time to explore. He wants someone to have explored for him, and to tell him what changed and what to do about it.
That conversation stayed with us, because it points to something we see across clients: the format of intelligence matters as much as the data behind it.
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ToggleHe is not alone
Gartner data cited by IBM puts average use of analytics and BI tools at 29% of employees, and IBM notes that this share has barely grown in seven years (IBM, 2024). Many people who receive dashboards never open them. They need the answer, not the tool.
The problem is not a lack of data. A Gartner survey of 4,861 digital workers, run between September and November 2022, found that 47% struggle to find the information they need to do their jobs well. The average desk worker now uses 11 applications, up from 6 in 2019 (CFOtech UK, reporting Gartner, 2023). Adding one more dashboard to that list does not always help.
From dashboards to short stories
The analytics industry has seen this coming. In February 2021, Gartner research director James Richardson predicted that by 2025 data stories would become the most common way people consume analytics, and that 75% of those stories would be generated automatically (TechTarget, 2021).
Whatever the exact timing, the direction is clear. Generative AI has made it cheap to turn a pipeline report, a CRM export or a competitor feed into a few plain sentences. What used to require an analyst writing a weekly memo can now arrive every morning. The dashboard does not disappear. It becomes the place where the analyst works, and the short summary becomes what the leader reads.
Beyond BI and CRM: where AI assistants and agents fit
The bigger change is that AI assistants such as Claude no longer sit only on top of a BI tool or a CRM. Through open standards like the Model Context Protocol, which Anthropic released in November 2024, an assistant can connect to the systems a team already uses: shared drives, Slack, databases, code repositories (AlternativeTo, 2024). That opens tasks a dashboard was never built for.
- Writing the brief. An agent reads the CRM, last night’s emails and the call notes, and writes the two lines and two bullet points before the CRO wakes up.
- Watching the market. It monitors competitor pricing pages, job postings and news, and flags only what changed.
- Preparing the meeting. Before a client call, it pulls the account history, open tickets and recent news into one page.
- Doing the follow-up. After the call, it drafts the email, updates the deal stage and creates the next task for a human to approve.
- Answering the next question. When the CRO reads “renewal at risk” and asks why, the assistant answers in the same thread, with the data behind it.
The human stays in the loop. The agent prepares, the leader decides. But the leader no longer has to open five tools to find out what happened yesterday.
What we take from it
Each leader needs a different kind of intelligence. It depends on the stage of the company, the time available and the decision on the table that day.
- A CRO under pressure may need two lines and two actions each morning.
- A board may need a quarterly view with trends and context.
- An analyst may need the full dashboard to explore.
The same data can serve all three. What changes is the cut, the frequency and the length.
What a two-line brief looks like
Here is the kind of daily note that CRO had in mind. The numbers are illustrative.
Pipeline for Q1 is at 2.4x target, stable since Monday. Two enterprise deals moved to proposal; one renewal (Account A) has had no reply in 9 days.
- Call Account A before Friday.
- Watch: competitor B cut prices in the mid-market tier this week.
Two lines of context, one action, one thing to watch. It takes 20 seconds to read. Behind it sits the same CRM data, the same market monitoring and the same models that would feed a dashboard.
Three questions before building anything
At Zenit Data, we now start every intelligence project, internal (revenue analytics) or external (market intelligence), with three questions:
- Which decision will this support, and how often is it made?
- How much time does the person have to read it?
- Where do they already spend their day: email, Slack, the CRM, a weekly meeting?
The answers decide the format. Sometimes it is a dashboard. Sometimes it is a weekly memo. Sometimes it is two lines and two bullet points, every morning, in the inbox.
How do you prefer to receive your numbers? Book a short call and tell us.
Sources
- IBM, A new era in BI: Overcoming low adoption to make smart decisions accessible for all (citing Gartner)
- CFOtech UK, 47% of digital workers struggle for information to be effective: Gartner (May 2023)
- TechTarget, Gartner predicts data storytelling will dominate BI by 2025 (February 2021)
- AlternativeTo, Anthropic launches Model Context Protocol to simplify LLM app integration with datasets (November 2024)