How to Build BI That Scales With Your Agency

For most agencies, data starts as a strength and quietly becomes a constraint. Early reporting setups like Google Analytics, Ads Manager, a few spreadsheets work fine until clients and channels multiply. Then, dashboards slow down, metrics misalign, and customer-facing teams spend more time maintaining reports with the help of IT than interpreting insights. The real…

The Monday dashboard is blank again. Once more, the gateway servers lost connection overnight, cutting off the data flow between source systems and reporting tools. Executives are left with outdated numbers. According to the Uptime Institute’s 2024 Outage Analysis, more than 54% of infrastructure failures cost organizations over $100,000, and 20% exceed $1 million. These…

How do you get a single trusted source of truth from scattered data sources? For anyone working directly with data, it is likely the data you work with is not made up of a single clean data source but instead consists of multiple sources which are all isolated from one another. There may be data…

Most dashboards don’t break on the screen — they break before they ever get there. A batch slips, a CSV header changes, a task reports success after loading zero rows, and suddenly yesterday’s revenue is flat, and nobody trusts the numbers. What follows is a practical playbook for building reliable, scalable, auditable BI pipelines: what…

What if one in five records in your reports is wrong? That could mean missed revenue, bad decisions, or lost customers. In fact, 58% of leaders say their key decisions are based on inaccurate or inconsistent data. Especially for SMBs, even small data errors can have a notable impact on growth, trust, and efficiency. Yet…

Q4 is the toughest time of year for BI and Ops teams in mid-market companies. Executives demand last-minute reports, holiday PTO leaves gaps in coverage, and accumulated “data debt” slows everyone down. The result? Broken dashboards, delayed insights, and January starts in chaos and stress. To survive and start 2026 strong: Download the 14-Day BI…

Every day, the world generates over 400 million terabytes of data, and most businesses are still playing catch-up. Legacy warehouses buckle under the pressure, and pure data lakes can’t provide the structure needed for fast analytics. A data lakehouse combines the low-cost storage of data lakes with the structured querying of data warehouses. It is…

How to ship a reliable, self-refreshing dashboard that keeps itself current If you are an end user of data and reports that come from dashboards, likely you don’t just want a dashboard as a one-off. You want one that keeps itself up to date when it is needed. The data refreshes as expected, charts remain…

Dashboards remain one of the most powerful tools for aligning data with decision-making across modern organizations. According to the 2024 State of Business Intelligence report by Dresner Advisory Services, over 87% of organizations now use dashboards as their primary interface for analytics. But good dashboards don’t just happen overnight. Dashboards have a lifecycle, consisting of…

Why export data to a notebook when you can forecast right where your metrics live? Many teams still use Jupyter notebooks, spreadsheets, or manual workflows. They export data, run models in another system, then bring the results back into dashboards. This slows everything down, creates stale insights, and leads to missed opportunities. KPMG’s 2025 report…