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Here are Our Latest Publications

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How Tabular Editor 2 Can Help You Find Data Model Problems
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.
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Power BI Success Starts Long Before Your First Dashboard
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.
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How Manual Work Creeps Back Into “Automated” Systems
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?
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Yesterday’s Data Slows Today’s Decisions
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.
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More Than Maps: How GIS Supports Better Business Decisions
When most people think about GIS & Spatial Analytics, they think about maps.
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When Community Corrections Data Doesn't Tell the Whole Story
Community corrections teams generate more data than ever before. Every client interaction, program attendance record, case note, and staffing update adds more data points.
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Breaking Down Spatial Data Silos: The Hidden Costs of Isolated GIS Data
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.
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The Data Prep Problem Slowing Down Your Reporting
Most organizations focus on dashboards, reports, and analytics outcomes. But a significant amount of reporting work has to happen before analysis even begins.
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Why Your Team Uses Excel More Than Power BI (And How to Improve Adoption)
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.
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The Difference Between Data and Useful Data
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.
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The Operational Risks Hidden Inside Manual Reporting
Most teams already know manual reporting is frustrating. It’s inefficient, repetitive, and time-consuming.
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When GIS Environments Outgrow Shapefiles and Spreadsheets
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Is Your GIS Working for You — or Sitting on the Shelf?
Many organizations already have GIS. The software is in place. The data exists. The maps are built.
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More Data, Less Clarity: The Hidden Steps in Modernizing Reporting
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?
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“Collection of colorful 3D data visualization charts and graphs on a dark background, representing data analytics and reporting.”
Getting Regulator-Ready: How to Build the Right Dashboards
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 ...
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Power BI vs Excel for Nonprofit Reporting
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.
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When ERP Reporting Is ‘Good Enough’ (and When It Isn’t)
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.
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Power BI vs Tableau for Financial Reporting and Compliance
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.
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Turning Service Data into Forecastable Insights
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.
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Key Warning Signs You've Outgrown DIY Analytics
Your analytic setup usually starts small. A few dashboards. Some spreadsheets. A scrappy setup that gives leadership visibility without much overhead.
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Improve Your Performance and Profitability Today

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.

GET STARTED
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The Hidden Reporting Problem Costing SaaS Teams Hours Every Month
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.
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How Siloed Data Slows Down Your AI Ambitions
AI is everywhere in leadership conversations right now. Executives want predictive models, automated insights, copilots, and real-time forecasts using the shiniest new AI tool. The pressure to use AI grows each quarter. But for many organizations, progress stalls for one simple reason: the data ...
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Free Your Insurance Analysts from Manual Reporting
Insurance agencies run on data — but too often, that data lives in silos and ends up managed by spreadsheets. Analysts spend more time hunting for numbers than interpreting them, and reports that should take minutes stretch into hours or even days.
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10 Data Integration Hacks the Experts Know
Data integration projects often start with high hopes…and end in chaos. Systems don’t sync, reports break, and teams waste hours chasing missing data. The truth is, most failures don’t happen because of technology; they happen because of planning.
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