Operational Dashboards
Dashboards for people running something day to day, built around the decisions they make rather than the data that was available.
Business Intelligence & Dashboards
Reporting people act on, instead of reporting people produce.
Overview
A great deal of reporting effort goes into assembling numbers rather than deciding anything with them. Nextherrion builds dashboards and KPI reporting around the decisions they are meant to support, automates the recurring assembly, and makes the definitions explicit so nobody has to ask which version is right.
Dashboards, KPI frameworks, executive reporting and automation of the recurring work that currently consumes a week every month.
Executive Dashboards
A small number of measures that genuinely indicate the state of the business, with the path down to detail when the number looks wrong.
KPI Systems
Defining measures precisely enough that two teams calculating the same KPI get the same answer — usually the harder half of the work.
WHAT WE DO
BI & Reporting Services We Offer
Reporting Automation
Automating recurring collection, preparation and distribution, so period reporting stops consuming days of someone's month.
Self-Service Analytics
Curated, documented models the business can query itself, without every question becoming a ticket for the data team.
Data Visualization
Charts chosen to make the comparison that matters legible, rather than to fill a slot on a page.
Embedded Analytics
Reporting inside the applications people already use, so insight arrives where the work happens rather than in a separate tool.
Metric Governance
One definition per measure, documented and owned, so reporting converges over time instead of fragmenting.
OUTCOMES
What Better Reporting Changes
- Decisions made on agreed numbers
- Period close without manual assembly
- Questions answered without a ticket
- One definition per measure
- Insight where the work happens
- Less time producing, more time using
FAQ
Frequently Asked Questions
We have dashboards nobody looks at. Why?
Usually because they were built around available data rather than around a decision someone has to make. A dashboard with no decision attached has no reason to be opened.
Which BI tool should we use?
Mostly a question of what your teams already know and what your data platform supports. The model underneath matters far more than the tool on top.
Why do our numbers keep disagreeing?
Different definitions or different sources. Fixing it is an agreement exercise first and a technical one second.
Can the business build its own reports?
Yes, given curated and documented models. Self-service on raw tables tends to produce confident answers that are wrong.
How many KPIs should an executive dashboard have?
Few. A dashboard with thirty measures is a data dump; the discipline is deciding which handful actually indicate the state of the business.
Can this pull from several systems?
Yes, though that usually needs the data engineering layer underneath to reconcile them first.
TECHNOLOGY
Built on Industry Leading Technology
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.
HOW WE DELIVER
BI Delivery Process
- 01Decision & Audience Discovery
- 02Metric Definition
- 03Data Model Design
- 04Dashboard Development
- 05Validation Against Source
- 06Rollout & Training
- 07Iterate on Usage
Does period reporting eat a week every month?
Most of that is assembly, and most assembly can be automated.