Energy, Utilities & Resources
North America
End to End Project Lifecycle Management
The company highlighted multiple challenges in its workflow when we first sat together for a discussion. Here are the key issues we identified:
Lack of Revenue Metrics
The finance team faced challenges tracking monthly revenue and key financial metrics, which made it difficult to produce accurate reports and make informed decisions.
Parts Usage and Inventory Tracking Misses
The procurement and inventory teams lacked a system to track parts usage effectively, monitor multiple versions of parts, and identify unused or ordered items, leading to overstocking, stockouts, and delays.
Expense Tracking Across Departments
The client struggled to monitor and analyze departmental spending without a comprehensive expense matrix, hindering financial oversight and resource allocation.
Our team helped the client efficiently manage their data, streamline processing, and create insightful dashboards. Here’s how we made it happen:
SQL Database Management
Our experts structured the client’s data in a MySQL database with relational tables and schemas. This approach ensured data integrity and made it easy to access for subsequent processes.
ETL Process (Extract, Transform, Load)
Custom Power BI Dashboard Setup
The team imported the processed data into Power BI and built dynamic, interactive dashboards.
These dashboards pictured actionable insights, including key metrics like monthly financial analysis, parts query performance, and operational expense breakdowns.
Database SQL: We wrote SQL queries to filter, aggregate, and organize the client’s data.
ETL in Power BI Dataflows: Minimal data transformations were carried out in Power BI Dataflows after extracting the data.
Integration: The cleaned and transformed data was seamlessly connected to Power BI for real-time visualization.
Dynamic Dashboards: Our team developed user-friendly dashboards that helped the client visualize KPIs and improve business decisions.
Power BI setup across departments has greatly improved the client’s solar energy operations. Financial monitoring is more accurate, supporting better decisions. Parts tracking and inventory management are now streamlined, reducing inefficiencies and ensuring resources are available when needed. Expense tracking has improved, strengthening financial control and resource allocation. Even being associated with a unique industry, these changes have made operations smoother and set the client up for long-term success.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
