When undertaking a major database project, one of the first questions to grapple with is: can we do this on our own, or do we need to work with an expert?
AI is making Power BI faster and easier to work with. Copilot can help users create reports, summarize data, write DAX, ask questions of their data, and reduce some of the technical friction involved in analysis. This drastically reduces the technical knowledge barrier to entry.
If you work with tabular data models, you know how quickly development and maintenance can become cumbersome in Visual Studio. Automatic processing can slow down development, updates can trigger additional processing, and collaborating across different versions can create conflicts.
Organizations implementing Power BI often focus on reports and dashboards. That makes sense because they're the most visible part of the project. Stakeholders can see progress, provide feedback, and start imagining the insights they'll gain.
Automation is supposed to make work easier. So why do so many organizations still find themselves exporting spreadsheets, copying data between systems, or manually cleaning reports after investing in automation?
Pulling weekly reports can and does provide valuable insights. But if you can’t analyze present data, you’re missing out on important context. If your organization only sees what's happening once a week, your teams often spend more time reacting to problems than preventing them.
Community corrections teams generate more data than ever before. Every client interaction, program attendance record, case note, and staffing update adds more data points.
Organizations often have more location-based data than they realize. Service territories, customer locations, infrastructure assets, field activities, and operational events all contain a geographic component.
SCS uses best-in-class tools to deliver database, reporting and data platform and analytics solutions. We partner with your team to develop custom solutions.
Most organizations focus on dashboards, reports, and analytics outcomes. But a significant amount of reporting work has to happen before analysis even begins.
Many organizations invest heavily in Power BI with the expectation that dashboards will replace manual reporting. Yet months later, teams are still exporting data into spreadsheets, creating their own reports, and emailing updated versions across departments.
Most organizations are not lacking data. In fact, many companies have more data than they know what to do with. Dashboards multiply. Reports pile up. Spreadsheets get passed between departments. New software gets added to the tech stack every year.
Organizations collect more data than ever before. Yet many leaders feel less confident in their reporting than they did just a few years ago. How does that happen?
In regulated industries like finance, insurance, non-profit, and government, dashboards are often the first place regulators and auditors look when evaluating operational transparency. If the numbers in those dashboards cannot be traced back to reliable data sources, organizations may struggle to ...
Nonprofits face a unique reporting challenge. You need to track budgets, demonstrate measurable impact, and respond quickly to board questions. And you often need to do all of that with limited staff and tight budgets.
Most organizations rely heavily on their ERP – especially manufacturing organizations. It tracks transactions, closes the books, and keeps operations moving. But what it doesn’t always do well is reporting.
SCS uses best-in-class tools to deliver database, reporting and data platform and analytics solutions. We partner with your team to develop custom solutions.
Financial institutions don’t get to experiment casually with reporting tools. When you’re dealing with regulatory oversight, internal controls, board reporting, and audit trails, your data platform becomes part of your compliance posture.
Service providers generate a steady stream of data every day: work gets logged, hours are tracked, and invoices go out. At the same time, customers move through projects and support queues. But not all service providers put that data to use.
SaaS teams depend on reporting for key services. Product planning, revenue forecasting, and customer success insights all rely on accurate reporting. Yet even with solid tools and plenty of dashboards, reporting still eats hours every month.
