Data Science

Leverage Microsoft Fabric and AI-driven analytics to gain strategic insights. Veraqor’s Data Science services support organizational goals by identifying data relationships and building solutions like NLP, computer vision, recommendation engines, and anomaly detection.
Data Analytics

$350B

is the current global big data analytics market size.

56%

of data leaders plan on increasing their budgets this year.

72%

of data leaders are engaged in digital transformation through data analytics.

What You Can Do

Transforming Complex Data into Clear, Strategic Insights
Unlock valuable insights from complex datasets by applying predictive models and machine learning. This approach uncovers key data relationships, enabling organizations to make informed decisions and leverage data for competitive advantage.
Speeding Up Insight Generation for Quick Decision-Making
Reduce delays in extracting actionable insights to support agile decision-making. Fast-tracked data processing enables organizations to access timely insights, helping them respond effectively to market changes and operational demands.
Visualizing Data for Enhanced Decision-Maker Clarity
Create intuitive visualizations that clearly highlight trends and patterns. Effective data visualization empowers decision-makers with a deeper understanding, improving their ability to recognize growth opportunities and address challenges strategically.
Deriving Actionable Insights from Unstructured Data
Harness unstructured data, like customer feedback and social media, using NLP to reveal sentiments and trends. This insight provides valuable perspectives that guide decisions, fostering improved customer experiences and strategic growth.

Technical Capabilities

Our Partnerships

PRimo-RPA-white

Growth Recognition

CL-KSA
USA

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

KPMG was looking to empower application developers to rapidly build their own cloud infrastructure while maintaining the firm’s security posture. The existing legacy lab environment offered great flexibility and speed for testing cloud services, but there were trade-offs concerning secure tenant-level policies, flexible access controls, and data classification restrictions. There was also a need to support training, proof of concepts, and application demos to internal clients that included cloud services that have not been vetted by KPMG security.

Solution

To mitigate this issue, a pre-development Azure landing zone was introduced with self-auditable security guardrails which allow developers elevated privileges to safely experiment with cloud services and build their applications in the cloud using KPMG proprietary data.

Impact​

The introduction of a pre-development Azure landing zone with self-auditable security guardrails allowed developers elevated privileges to safely experiment with cloud services and build their applications in the cloud using KPMG proprietary data. The solution also enables data scientists to fine-tune their AI & ML models with rapid prototyping, increased agility, and reduced time to market. The KPMG app dev teams adopted the pre-dev Azure landing zone to migrate to the cloud in just eight days, reducing time to market by 50-60%.

Situation

AMD IT, as a leader in semiconductor technology, was facing an ever-increasing need for more computing resources for its product development and verification processes. The team was looking for scalability, reliability, and adaptability for its hybrid environments to preserve capacity and reliability. The solution implemented has enabled AMD to reduce delays and accelerate time to market.

Solution

By using Azure resources, AMD IT was able to speed up job times and reduce time to market by scaling up virtual machines (VMs) configured for high-performance computing (HPC) to meet bursts of demand and then scale back down when the machines aren’t needed.

Impact​

The solution also helped AMD IT shorten ramp-up times, gain flexibility, and speed up job times, which ultimately sped up design cycle times and reduced time to market. Additionally, AMD IT was able to strategically plan for which machines and processes it would need at any given time, allowing them to positively impact the company’s bottom line.

Situation

Mondelēz International had an aging on-premises infrastructure that needed to be replaced to enable new business and product innovations. The company was also facing increasingly severe security threats and needed to ramp up its security posture. In addition, the company wanted to move as many of its systems as possible to the cloud to gain scalability, flexibility, and agility.

Solution

The solution that Mondelez adopted was to move most of its IT assets, including much of its business-critical SAP landscape, to Microsoft Azure. By doing so, Mondelēz International improved SAP application performance by up to 50 percent, halved its disaster recovery time and boosted availability of key systems.

Impact

​ The decision to move to Azure allowed the company to introduce additional layers of security, including Azure Active Directory, in a flexible and agile way, which was not possible in a static, on-premises environment. Additionally, the company was able to reduce costs and upgrade its infrastructure while meeting the rapidly evolving digital requirements of its consumers. The company’s digital capability is now integral to its strategy and everything it does to further accelerate profitable growth.

Situation

EY Assurance, dedicated to delivering high-quality audits globally and fostering trust and confidence in capital markets, faced the challenge of managing a growing client list and the escalating volume and complexity of data for analysis. In response, EY Assurance sought to evolve its technology to meet these demands and get ahead of the increasing data chaos.

Solution

In a strategic partnership, EY Assurance opted for Microsoft Fabric as the solution to streamline its data supply chain. Integrated with Microsoft Power BI, this solution simplifies the analysis of client data for EY Assurance professionals. By leveraging Microsoft Fabric, EY Assurance anticipates improvements in the speed and quality of data analysis, as well as advancements in scalability. The platform also offers the potential to extend its benefits to other service lines within EY.

Impact

​ The adoption of Microsoft Fabric has positioned EY Assurance to navigate the challenges of a growing client base and increasingly complex data. This move is expected to enhance the speed and quality of data analysis, allowing for more efficient auditing processes. Furthermore, the scalability and versatility of Microsoft Fabric enable EY Assurance to envision extending its benefits across various service lines, contributing to the overall evolution and advancement of the company’s technological capabilities.

Situation

ZEISS Group recognized the untapped potential within its vast and varied datasets and sought to break free from the constraints of numerous data silos. The company aimed to streamline its data analytics workflows by establishing a unified source of truth. With specific technical objectives, including the evolution of its enterprise (Big) DATA Analytics platform, ZEISS Group aimed to accelerate the end-to-end data lifecycle and foster business growth through AI innovation.

Solution

In pursuit of a solution, ZEISS Group turned to Microsoft Fabric on the Azure platform (cloud environment). This strategic choice enabled ZEISS Group to seamlessly connect and consolidate all its data sources, eliminating the need for redundant data silos and additional infrastructure investments. Microsoft Fabric on Azure emerged as the key enabler for ZEISS Group to achieve its technical goals, allowing the company to work from a single source of truth across various data analytics workflows.

Impact

​ By adopting Microsoft Fabric on Azure, ZEISS Group anticipates a transformative impact on its data supply chain. The unified analytics platform facilitates secure and trusted data sharing across different business units, empowering ZEISS Group to focus on its core competency—creating industry-leading optical solutions. Leveraging its familiarity with Microsoft technologies, ZEISS Group has seamlessly integrated Microsoft Fabric into its existing ecosystem.

Situation

Dallas-based organization Jacobs Solutions Inc. (Jacobs), a leader in innovative engineering solutions, employs over 60,000 individuals across 50 countries. Despite their global success, Jacobs faced a significant challenge in ensuring project certainty across diverse sectors. One of Jacobs’ primary hurdles involved the scattered nature of project data, dispersed across APIs, data lakes, network storage, and databases. This fragmentation impeded the agile and scalable creation of dashboards and reports, requiring developers to undergo tedious, time-consuming consolidation processes.

Solution

Jacobs embarked on a journey to streamline their processes by leveraging Power BI and the Microsoft Fabric platform on Azure. By centralizing and integrating their project data, Jacobs aimed to overcome the challenges of fragmentation. This strategic move enabled the organization to enhance agility and scalability in the creation of dashboards and reports.

Impact

​ The implementation of Power BI and the extended Microsoft Fabric has empowered Jacobs to deliver certainty on their projects and programs. The platform’s scalability and efficiency have significantly reduced the time and effort previously spent on consolidating scattered data. Developers can now focus on value-added tasks rather than laborious data integration steps. This transformation not only addresses Jacobs’ initial challenge but also propels them toward more agile and streamlined project execution.

Generating Business Value Across Functions

Building Predictive Models for Proactive Decisions
Design predictive models to anticipate trends, spot anomalies, and identify opportunities within data. These insights enable proactive decision-making, helping organizations stay ahead of changes and adapt strategies based on emerging patterns.
Creating Interactive Visualizations to Drive Strategic Actions
Develop intuitive, interactive visualizations that reveal hidden trends, patterns, and outliers. By presenting data clearly, decision-makers can gain actionable insights quickly, aligning business actions with data-driven strategies for better outcomes.
Implementing NLP to Analyze Customer Sentiment
Use natural language processing (NLP) to extract meaningful insights from unstructured data like customer reviews and social media comments. This analysis reveals customer sentiment, helping refine products, enhance experiences, and inform strategic decisions.
Developing Recommendation Systems to Boost Engagement
Build recommendation engines that personalize user experiences based on behavior patterns. These systems increase customer engagement, improve retention, and optimize content or product offerings to meet user preferences effectively.
Automating Anomaly Detection for Enhanced Security
Implement machine learning-based anomaly detection to identify irregularities in real-time. This proactive approach strengthens data security, minimizes risks, and ensures rapid responses to potential issues before they escalate.
Enabling Faster Insights with Real-Time Data Analysis
Leverage real-time data analytics to access up-to-the-minute insights. This capability allows organizations to respond quickly to market dynamics, adjust strategies as needed, and maintain agility in a fast-paced environment.