Cloud Management

Data is flooding enterprises from more sources than ever: IoT devices, customer interactions, social media, and countless more. Yet only a fraction of that data is actually driving decisions — and the gap between data you have and data you can act on is where competitive advantage is won or lost.

Data silos, compliance rules, and security — many organizations are a long way from the goal of unified data. And yet, uniting data into something usable — for everyone, not just data scientists — is only the first step. Whether you’re pursuing AI, modernizing operations, or simply trying to move faster as a business, a governed and accessible data foundation is what makes the next step possible.

BUSINESS OUTCOMES

Faster decisions, grounded in data insights

57%

of companies reported revenue uplift due to real-time data analysis.

Forbes

68%

of leaders agree that unifying their data platform for analytics and AI is crucial for their enterprise data strategy.

Databricks

93%

of technology leaders agree that data strategy is critical to harnessing value from generative AI.

MITSloan

Learn More About Business Outcomes

SOLUTIONS SUITE

Our Data Analytics Solutions

Data_engineering

Data Engineering

Our architects assess an organization’s current environment and business objectives, documenting existing data assets and systems.

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Data_modernization

Data Modernization

We design and implement a modern data architecture that fits the organization’s needs.

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Data_visualization

Data Visualization

Select and implement analytics platforms and tools.

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Data_management

Data Management

Establish data pipelines for continuous data collection, visibility, and optimization.

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AI Readiness

Deploy advanced AI solutions for specific use cases.

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Data Startegy

We align business objectives with data goals to create a cohesive strategy.

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Your data foundation doesn’t just power your analytics. It determines what AI can do for your business. 11
Whether you’re pursuing AI now or building toward it, the organizations pulling the furthest ahead are treating data readiness and AI strategy as a single initiative — not two separate ones. That’s exactly what CBTS Forge AI is built around.

WHERE TO START

Connect the data tools you need to achieve your key business objectives

Not sure where to start?
Select the option that matches your business priorities.

Target business goals, define KPIs, and achieve stakeholder buy-in.

Unify data across the enterprise to enable de-siloed visibility and insights.

Migrate from legacy databases and systems.

Gather insights from data and effectively tell data-driven stories.

Optimize data gathering.

Data Strategy

Data Engineering

Data Modernization

Data Visualization

Data Management

METHODOLOGY

Why CBTS?

Assess

Identify gaps in practices, policies, controls, and the security stack that put our customers’ data and assets at risk.

Design

Map out a step-by-step implementation strategy, carefully sequencing initiatives across people, data, applications, and technology to integrate with your existing environment.

Deploy

Build a comprehensive, board-ready roadmap with clear business cases for AI investment, tailored to your priorities and timelines.

Operate

We don’t hand off a plan and walk away. Our team supports your transition from strategy to execution, and we stay with you through deployment and managed operations.

“When it comes to Data Analytics Services, at CBTS, we drink our own champagne. We are customer zero for every single data offering we have. We first test and implement every data tool on ourselves and refine the process over hundreds of iterations (internally and with our clients). We can optimize your path to a unified data strategy at all points along the journey, from planning to governance. Not many organizations can offer full-spectrum support like that.”

JGrieshop_headshot

Justin Grieshop

Sr. Director of AI & Analytics, CBTS

Pivoting to the future

The good news is rather than retiring an entire library of applications, application modernization extends the lifespan of current applications and helps you take advantage of the latest innovations.

Our consultants start with an assessment and work with you to identify areas where modernization is needed. Then we develop a roadmap to improve efficiency, security, and performance based on your business objectives. The goal is to modernize and integrate existing applications seamlessly into your environment while pivoting to meet current and future business needs.

FAQs

Top 5 questions

How can I ensure data is used effectively for business decisions? Establish a clear data strategy that aligns with business goals. This process involves collecting relevant and high-quality data, analyzing it to extract actionable insights, and fostering a data-driven culture within the organization. Additionally, utilizing appropriate tools and technologies for data visualization and interpretation can enhance decision-making processes. Regularly reviewing and updating data practices will also help maintain effectiveness over time.

How do I make data accessible and understandable to all users, including those without technical expertise? Straightforward business intelligence tools can create easy-to-understand visuals in a low-code/no-code environment.

How do I enable self-service analytics while maintaining data governance? Data management solutions, such as Microsoft Fabric, are enabled with a streamlined dashboard that keeps your KPIs and governance metrics in one place. Additionally, you can securely deploy an LLM to unlock enterprise search and analysis of all your data.

How do I track the impact of data on business outcomes? By focusing on outcomes, CBTS helps build the business case for analytics initiatives within a company—demonstrating early wins that justify further investment. This outcome-driven approach ensures that the data analytics program is not just a tech upgrade, but a strategic initiative yielding tangible ROI. With data visualization tools, you can gather tangible insights about business operations and communicate them in a compelling way. Perhaps the best measure of data analytics ROI is sales, as nearly 60% of businesses see increased income from real-time insights.

How do I build a data-driven culture within my organization? A Forbes survey found the main challenge to becoming data-driven was not technology (~8%) but people, process, and culture (>92%). We offer extensive support—including user training, documentation, and ongoing coaching—to ensure clients can use and sustain analytics programs. We also provide 24×7 monitoring and management—crucial for companies with small IT departments—handling maintenance, performance tuning, and analytics operations as a service. This frees up client personnel to focus on insights rather than system management.