Business Intelligence Services

Harness the Power of Business Intelligence

Unlock real-time access to critical business metrics and actionable insights with Veraqor’s Business Intelligence and Data Analytics Services.

Overcoming Challenges with Business Intelligence

Hidden Valuable Insights

Disorganized Reporting Process

Gain Business Intelligence and Insight with Veraqor's Data Analytics and BI Services

Give your organization the ability to work with governed data and enjoy improved operational efficiency, enterprise-scale dashboards, visualization, and decision-making support. Veraqor’s business intelligence consultants develop a precise BI roadmap to ensure efficient decision-making by studying enterprise goals and objectives. 

Industry Scenarios

Generating Business Value Across Industries

Enterprise cloud solutions that provide real-time, actionable insights.

See How Organizations Are Innovating

Situation

T-Mobile faced a challenge of building a nationwide 5G network while ensuring effective and accurate reporting on data and metrics related to supply chain and business critical information. The existing landscape of disparate data sources and systems made it difficult and time-consuming to ensure real-time metrics, leading to the need for a solution to centralize data to optimize planning and reporting that would be effective and efficient.

Solution

The solution was to create a data lakehouse solution with Azure Synapse to centralize all their data and make it significantly more accessible and flexible across the organization. Power BI was then used to create stunning dashboards to support the usage and understanding of procurement and supply chain data and encourage more data-driven decision making during the 5G initiative.

Impact​

The data lakehouse created with Microsoft Azure Data Factory, Azure Synapse Analytics, and Azure Databricks, enabled T-Mobile to centralize data and improve security, eliminating workload contention and ensuring data isolation. The data lakehouse also facilitated the creation of stunning dashboards, using Microsoft Power BI, to support the understanding of procurement and supply chain data and encourage more data-driven decision making. T-Mobile was able to successfully execute the building of a nationwide 5G network, which required a massive ramp-up in cell tower site construction and ensure that sites were built on time.

Situation

Walmart was facing issues with centralizing, democratizing, and optimizing data. With trillions of transactions and data sources, democratizing data and making it available to end-users was a massive challenge. They needed a solution that would allow associates to drill down into the most relevant details using their preferred method and enable them to manage their part of the Walmart business more effectively.

Solution

Walmart’s finance department was able to standardize on Microsoft Power BI as a reporting and analytics solution. The Power BI “Semantic Model” gave analysts easy access to all of Walmart’s financial data, enables them to analyze it quickly, and allows them to drill down to the most granular level of data available. Walmart’s Finance Data & Analytics team worked to unify disparate data sources, including internal and external technologies, through a series of layered steps using Power BI’s incremental refresh option.

Impact​

Walmart was able to centralize and democratize the vast amount of data it processes, making it available to end-users, enabling them to powerfully analyze the data quickly. With Microsoft Power BI, they have established a “semantic model library” covering massive amounts of financial data, allowing analysts an easy way to gain actionable insights into daily journal entry transactions within the U.S. The solution revolutionized self-service access to financial data, significantly reduced the amount of time analysts spent on gathering data and provided the ability to drill-down to the most granular level of data available.

Situation

The digitalization and automation of plants were necessary for the client. The information was previously handled using traditional and manual methods. A Well Performance System was the need for the oil industry giant to make improved decisions.

Solution

A customized Well Performance System was built to comply with the requirements and meet the needs of the enterprise. It collected and analyzed data from vendor devices and sensors, visualized operational data, and delivered analytics for improved performance.

Impact​

The solution greatly impacted the company’s data, ensuring increased productivity, enabling informed decision-making with real-time well status, proactive maintenance, and alerts, and improved Overall Equipment Effectiveness (OEE).

Situation

The enterprise faced the challenge of a huge gap between the written and delivered sales, and they wanted to understand and resolve the issue regarding their sales. This was important because it led to several confusions and disrupted their operations.

Solution

The enterprise was provided a digital solution where we implemented a Kalido Information Engine, helping the company understand all the contributing factors, including relative sales volumes and associated delivery latency. Analytics provided the ability to dig deep and discover reasons behind actions.

Impact​

The solution positively impacted the overall process, where the business experienced a reduction in variance. It came down to 2.9% from 5%, which meant a multi-million dollar increase in revenue for the client.

Situation

Increased dependency on IT, high support costs and license fees, and operational costs forced our client to look for alternative solutions in order to bring the operating costs and licensing fees down, with customizations and all other key features.

Solution

We introduced self-service BI that helped business users to create their own reports, drill down deep, and find out reasons for various actions. We ensured no memory and speed constraints, that too with a minimal upfront cost, and enabled optimal performance.

Impact​

The solution resulted in optimizing the operations for the company and reducing their overall expenditure significantly. By using versions of Power BI and SQL Server, we migrated all the reports to Power BI and trained their workforce for the technology shift.