runQL speeds up the time it takes to answer business data requests and saves each data professional 2+ hours a day.
The data request backlog is growing. The business needs fast, trusted insights but BI/Analytics teams are slowed down by antiquated tools and processes.
Your BI team is backlogged with time sensitive requests from everyone in the business.
Each BI team member spends 2+ hours a day on query management and tool switching.
The business wants faster responses to requests and their expectations have changed.
With 200 people writing queries, they are too hard to find in our Git repository. There's lots of duplication of work, and descriptions are often not there.
Maintaining, documenting, versioning, searching and sharing queries… is a pain. I estimate that it consumes two hours of my work every day.
Version control for queries is a big problem for us… also the documentation we have in Confluence does not contain the updates/changes.
For 30 years BI tools have promised to democratize data and eliminate ad-hoc data requests, but they simply are not agile enough for how fast businesses change.
Creating or updating dashboards can be slow with users often have to wait weeks.
Users get frustrated when they finally find a dashboard, and it's missing data.
Users prefer to just ask their trusted person for data. They don't want to learn a BI tool.
Current BI tools don’t keep pace with how we evolve our view of the business. It’s better to just ask the data team directly.
We're reimagining the data request tools and processes, helping data teams work faster, leveraging team queries, and using AI. There's more coming, contact us for details.
We help teams find and write queries 5x faster, leverage existing team knowledge, and more.
We save each team member 2+ hours a day with managing, versioning, and documenting queries.
We help teams leverage the one source of truth for repeatability and use in external platforms.
A recent data change meant we had to bring our SR Data Analyst in on the weekend to update the query in all the downstream BI dashboards and other tools. If we had runQL we could have just updated the query in one place.
Increase throughput for the team by saving each team member 2+ hours a day, the equivalent of $35K a year in productivity. Help them meet the evolving needs of the business, faster.
Your team can spend less time searching and more time answering requests for the business.
Your team can increase repeatability by using certified queries that ensure accurate results.
We save each data team member 2+ hours a day in searching, versioning and documenting queries.
We are not capturing institutional knowledge as queries are not documented. Things are not repeatable and getting new data employees up to speed is a problem.
Turnover is a big risk due to lack of saved queries (knowledge retention).
We need to know what the query was and what were the steps taken to get to the answer, saving queries and notes is one of our biggest challenges.
You need to enable your organization to get fast, trusted insights. Other parts of your business have efficiency gains from tooling, now apply tool and process maturity to the BI team.
Enable your teams to get fast time-to-result for business data requests.
Sign in with Google or Office 365 SSO and control access to data projects and workspaces.
Increase productivity across the organization by removing bottlenecks.
Know who accessed what and when across all data sources, including downloads. Even for data sources with generic credentials.
Track all data access, queries run, history and changes for everyone using runQL.
Sign in with Google or Office 365 SSO and control access to data projects and workspaces.
Your data always stays private to you, we don't store or view your data. We never send your data to our LLM provider. Also note that we have Enterprise agreements in place with our LLM providers so any data that is sent to them is not retained and not used for their models.
We help data teams deliver trusted data results faster than other solutions by leveraging existing team queries and AI.
Faster time-to-result for business data requests.
Teams get more done, in less time.
$35K in productivity per team member, per year.
runQL speeds up the time it takes to answer business data requests and saves each data team member 2+ hours a day.
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