Technology Solutions for CIOs & CDOs

Seamless Technology Solutions for CDO and CIO to Propel Your Enterprise to Success

Align your path with strategic data initiatives and unlock the full potential of data for improved business outcomes.

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Overcoming Business Challenges for IT Leaders

  • Lack of Clear Data Governance Policies
  • Difficulty Interpreting Complex Datasets
  • Limited Data Visualization Options
  • Inconsistent Data & Interoperability Issues
  • Incompatible Legacy Systems
  • Limited Scalability & Downtime
  • Incompliant Data Laws & Regulations
  • Inefficient & Unstructured Cloud Approach
  • Increased IT Infrastructure Cost
  • Data Privacy & Security Risks
  • Below-par Worker Health & Safety
  • Failure To Analyze Customer Preferences

Scalable & Secure Solutions Leading to a Data-Driven Culture

Embrace a data-driven culture for next-gen digitization and product development and solve digital solutions tailored for IT leadership. We leverage cutting-edge technologies and robust data management practices to empower organizations and harness the full potential of their data assets, enabling informed decision-making, driving innovation, and achieving sustainable growth.

Applied AI Solutions

Our outcome-focused approach to utilizing artificial intelligence and advanced machine learning algorithms enables us to streamline our business processes, enhance customer experiences, and drive data-informed decision-making. By leveraging our artificial intelligence and machine learning capabilities in a strategic and integrated manner, we can help your business achieve its goals and stay ahead of the competition.

Solutions

Knowledge Mining
Conversational Artificial
Computer Vision
Speech Transcription & Analytics
Machine Learning
Business Process Automation

Data Analytics Services

Veraqor’s Data Analytics services and solutions help enterprises achieve their goals by leveraging their existing data. We use the cloud, AI, and effective data governance to create business value and solve real-world problems.

Solutions

Data Science
Data Governance
Business Insights
Data Engineering
Data & Analytics Strategy

Business Insights

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.

Solutions

BI Strategy
Dashboard Layer
Enterprise Self-Service BI
Business Semantic Modeling
Implementation Roadmap
Enterprise BI Governance

Cloud & Application Modernization

Veraqor simplifies cloud workload design, development, and deployment with enterprise offerings and WAF, compliance, scalability, and monitoring. Align your resources with best practices to optimize results, achieve business continuity, and garner maximum value from your cloud investments.

Solutions

Achieve Resiliency Through Well-Architected Framework
Reduce Time to Value Through Cloud
Adapt to Evolving Business Needs with DevOps
Optimize Business Through Cloud Governance & Ops
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Strategic Digital Transformation Scenarios

Adopting technology for a customer centric approach to business

Current State

  • Inconvenient and delayed connections.
  • Inconsistent and confusing customer experiences.
  • Challenges with customer loyalty, satisfaction, and high churn rates.

Desired Future State

  • Seamless connectivity and convenience across channels.
  • To understand and fulfill our customers’ needs effectively.
  • Engaging and relevant experience throughout the customer journey.
  • Winning customers’ trust, satisfaction, and loyalty are paramount.

What We Are Looking For?

  • Enable seamless customer connectivity anytime, anywhere.
  • Deliver consistent and personalized customer experiences.
  • Foster loyalty and satisfaction for enduring customer relationships.

Current State

  • Difficulty when collaborating on projects, making decisions, and planning work.
  • Inability to easily make use of the special skills and knowledge spread throughout our company.
  • Isolated solutions that are not integrated to support sharing information or moving our business forward.

Desired Future State

  • Satisfied employees with the tools and flexibility that we provide.
  • Become more agile and reduce turn-around times for our processes.
  • Connect and collaborate from anywhere, anytime.
  • Collaborate with internal and external stakeholders and stay on budget/time.

What We Are Looking For?

  • Improve our time to market.
  • Improve the productivity of our employees.
  • Rapidly and collaboratively respond to business needs.

Current State

  • Overwhelmed by the amount of data to be managed, processed, and analyzed.
  • Lack of IT capabilities to integrate, store and process the data from diverse sources.
  • Absence of relevant and timely insight to improve strategies, processes, or customer connection.

Desired Future State

  • Manage and process unlimited amounts of data, providing the insights needed to align the strategy and execution.
  • Integrate data from different sources cutting across the supply chain, marketing, and operations.
  • Shift focus from controlling data to being the steward of data and insights.

What We Are Looking For?

  • Improve our understanding of our customers.
  • Make faster and smarter business decisions.
  • Provide insight and analysis to support business leaders.

Current State

  • IT projects usually lag business needs.
  • Long cycles for creating and improving solutions.
  • Difficulty creating solutions that accommodate our employees’ needs for mobility, device use, and services not managed by IT.

Desired Future State

  • Quickly deliver solutions to our customers.
  • Respond to changing market conditions and business models, adapting IT with agility.
  • Engage with employees to understand their needs and identify ways to help.

What We Are Looking For?

  • Identify business problems that IT can solve.
  • Reduce IT delivery time.
  • Reduce the cost of delivering and managing an IT project.

Customer Evidence

Situation

Howden faced a challenge in their business where generating customer proposals was a time-consuming, labor-intensive process that was also prone to human errors. This process required going through detailed engineering documents that included unstructured text and images of specialized components, which made it difficult to produce accurate bids within a reasonable timeframe.

Solution

Howden implemented Cognitive search technology to address this challenge to optimize their bidding process. This technology enabled them to scour through large volumes of data efficiently and extract relevant information from their engineering documents. Using AI algorithms, Howden could automatically identify key information from these documents and use it to create accurate customer proposals.

Impact​

By implementing this solution, Howden was able to significantly speed up their proposal generation process, which improved their overall productivity and reduced the likelihood of errors. The technology allowed them to access the relevant information they needed quickly and efficiently, enabling them to generate proposals faster and more accurately. This, in turn, helped Howden to serve its customers better and win more business.

Situation

Claims management transactions in the National Health Service (NHS) can be time-consuming and inefficient, involving a lot of manual data entry and processing of paper documents. This can lead to delays in processing claims, impacting patient safety and resulting in higher costs for taxpayers.

Solution

To address this challenge, we proposed a solution to modernize claims management transactions by digitizing documents and using AI and machine learning to extract data from those forms. This data can then be used to drive better decision-making for the NHS, improving the efficiency and accuracy of the claims management process.

Impact​

By implementing this solution, the NHS delivered better taxpayer value by reducing the costs associated with claims management and improving the accuracy of claims processing. This also led to better patient outcomes, as claims were processed more quickly and accurately, reducing potential errors or delays that could impact patient safety. The digitization and data-driven claims management approach helped the NHS operate more efficiently and improve performance and efficacy.

Situation

The issue that Vodafone was facing was that its software engineering work across the company was supported by disparate systems, with different source repositories, change control systems that relied on Word documents and a stasis-inducing attitude to risk and compliance.

Solution

The use of Azure DevOps and GitHub, which allowed Vodafone to streamline and automate their coding, testing, and development processes. This has resulted in a 40% time saving in the global web engineering team and more than 50% time saving in the global app engineering team. In addition, the use of these tools has resulted in a four times increase in developer productivity, without a commensurate increase in headcount.

Impact​

Vodafone has been able to respond rapidly to customer requirements on digital channels, which is increasingly important as digital channels account for a larger share of customer interactions. The use of Azure DevOps has enabled Vodafone to move to a completely remote planning process and to experiment and iterate quickly on product development. The business is now beginning to embrace this functionality and is funding teams instead of funding specific projects or deliverables.

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.