Data teams are not the bottleneck by choice. The bottleneck is a queue of ad-hoc requests, a warehouse nobody outside IT can read, and numbers that disagree depending on who exported them.
A manager asks for revenue by channel and waits four days for an analyst to free up. By then the campaign is over and the budget is spent.
Marketing, finance and sales each keep a spreadsheet of the same metric. Meetings go on reconciling figures instead of acting on them.
One cluttered board built for a quarterly deck. If a page needs fifteen seconds to load, people quietly go back to exporting CSVs.
CRM, ERP, ad platforms, billing, support. Nothing joins up, so no one can follow a customer from first click to paid invoice.
Pulse BI connects to the systems you already run, models the data once and turns it into dashboards your team can question on their own. The semantic layer holds the definitions - what counts as an active customer, how margin is calculated - so every report speaks the same language.
Connectors instead of exports. Sixty-plus sources: Postgres, MySQL, ClickHouse, BigQuery, Snowflake, spreadsheets, CRM and ad platforms, plus any REST endpoint. Incremental sync keeps operational boards fresh by the minute and heavy historical models refreshed nightly.
Self-service that stays governed. Business users build charts by dragging fields, filter with slicers and drill into a single row without writing SQL. Analysts keep the model, certified metrics and access rules, so freedom at the front end never turns into five versions of the truth.
Speed is a feature. A columnar cache and pre-aggregation hold median query time near a second across hundreds of millions of rows. Boards open fast enough to be used during a meeting instead of screenshotted the night before.
Alerts, not archaeology. Put a threshold on any metric and get a message in email or a messenger when conversion drops or stock cover falls below a week. Scheduled reports land as PDF or XLSX for the people who will never log in.
Governance for regulated data. Row-level security ties what a user sees to their region or department, SSO handles identity, sensitive columns can be masked without duplicating the dataset, and every query is logged.
Rollout in two to four weeks. Digict LTD connects your sources, builds the first three dashboards together with your team and trains the people who will own them. Adoption is measured in weekly active users, not in licences sold.
Drag-and-drop builder, 30+ chart types, drill-through and cross-filtering.
Certified metrics and shared definitions, versioned and reused everywhere.
Databases, warehouses, SaaS APIs and spreadsheets with incremental sync.
Threshold alerts plus scheduled PDF and XLSX delivery to any inbox.
Charts inside your own product or client portal with tenant isolation.
SSO, row-level security, column masking and a full query audit trail.
Funnel, cohort and channel economics on one board. Read CAC and payback per campaign without waiting for the monthly review.
Stock cover, delivery times and supplier performance refreshed hourly, with alerts that fire before a shortage becomes a stockout.
P&L by entity, cash flow and budget variance built on exactly the figures the operational teams already read.
Priced per editor, viewers included · 14-day trial on your own data
Up to 5 editors, unlimited viewers, core connectors. For a first analytics setup.
Full connector library, alerts and the semantic layer. For data-driven teams.
Dedicated cluster, SSO and embedded analytics. From 100 users.
An analytics engineering team building the platform since 2019. Ships a release every three weeks and publishes its roadmap openly.
Digict LTD handles the contract, invoicing and closing documents, the rollout and first dashboards, plus training and first-line support.
Usually inside the first week. Connecting a database and building a working revenue board takes hours - the time goes into agreeing what the metrics mean.
No. Pulse BI can query production replicas and SaaS APIs directly. If volumes grow, we move the heavy models into a warehouse later without rebuilding your dashboards.
No. Editors work on top of certified datasets, and anything they build stays in their own workspace until published. The model and access rules remain with your analysts.
Hundreds of millions of rows with columnar caching and pre-aggregation. On Enterprise the cluster is sized for your data and concurrency during rollout.
You contract with Digict LTD: invoice-based payments and monthly closing documents. One agreement covers licences, rollout and support.
Yes. Embedded analytics with tenant isolation and white-label styling is part of Enterprise, exposed through a signed-URL API.