Data Analytics Services
Uncover Hidden Insights with Our Data Analytics Solutions
Unlock your business’s potential with Veraqor’s data analytics solutions and insights. Uncover powerful insights that enable you to make better decisions and get real-time results. Let us show you how our data analytics services can benefit your business.
Overcoming Challenges in Data Management & Analytics
Data Governance, Security, and Compliance
- Lack of Clear Data Governance Policies and Procedures
- Ensuring Compliance with Data Protection Regulations
- Protecting Sensitive Data from Unauthorized Access
Data Analysis and Visualization
- Difficulty Interpreting Complex data Sets
- Limited Data Visualization Options and Tools
- Inaccurate and Inconsistent Data
Scalability and Performance
- Difficulty Scaling Systems to Handle Large Amounts of Data
- Interoperability Issues Between Different Software and Systems
- Unclear Cloud Adoption and Resources Utilization
Empower Your Business with Our 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.
Data & Analytics Strategy
Key Benefits
Improved resource management
Optimized cloud adoption
New opportunities for growth
Realization of short and long-term returns
Technical Capabilities
Devising New Avenues for Data Management
We help organizations devise new avenues for data management. This includes designing and implementing data management strategies that are tailored to the specific needs of the organization. Our team of experts helps organizations identify and collect data from various sources, clean and process the data, and store it in a secure and organized way.
Leveraging AI & ML to Improve Data Management
We leverage artificial intelligence (AI) and machine learning (ML) to utilize your organization’s data appropriately. Our team of data scientists can help businesses to develop algorithms that analyze and classify data automatically, reducing the need for manual data processing. This saves organizations time and money while improving data accuracy.
Redefining Cloud Analytics through Data
Veraqor can help organizations redefine cloud analytics through data by designing and implementing cloud analytics solutions that are scalable, secure, and cost-effective. We use a well-architected framework that emphasizes performance and operational excellence to ensure that cloud analytics solutions are optimized for the specific needs of the organization. Our team of experts can help organizations to implement real-time data analytics and create dashboards and reports that provide insights into business performance. We can also help organizations to migrate data and applications to the cloud, ensuring that data is secure and compliant with regulatory requirements.
Data & Analytics Strategy Trends
Worldwide revenues for big data and business analytics surpassed $274.3 billion by 2022, with a compound annual growth rate (CAGR) of 13.2%.
Companies that prioritize data-driven decision-making are 58% more likely to achieve their revenue goals than companies that don’t prioritize it.
Organizations that use data and analytics are 23 times more likely to acquire customers than organizations that don’t use it.
Data Engineering
Veraqor streamlines data management by identifying and integrating data assets into modern data warehouses with appropriate preparation and governance. We optimize performance for the best results and offer purpose-built accelerators for valuable insights through our Data Analytics Solutions.
Key Benefits
Identifies and integrates data assets into data management systems
Provides valuable insights from data efficiently in real-time
Prepares and governs data for best results
Optimizes data processing, scalability, security, and cost-effectiveness of solutions
Technical Capabilities
Identifying and Integrating Data Assets
We help organizations identify data assets and integrate them into their data management systems. Our team of experts can help organizations to create modern data warehouses that can process large amounts of data in a scalable and efficient way. We also ensure that data is appropriately prepared and governed to yield the best results.
Purpose-built Accelerators for Data Insights
Veraqor can help organizations build critical systems and with purpose-built accelerators that extract valuable information through data insights services. Our team of experts can design and implement custom data insights solutions that are tailored to the specific needs of the organization. This helps organizations to get valuable insights from their data quickly and efficiently.
Implementing Real-time Data Analytics Solutions
We can help organizations implement real-time data analytics solutions that provide insights into business performance as it happens. Our team of experts can design and implement custom solutions that are scalable, secure, and cost-effective. We also help organizations to create dashboards and reports that provide insights into their data in real time.
Data Engineering Trends
The global data engineering market is expected to reach $21.2 billion by 2026, with a CAGR of 20.6%.
The global data lakes market is expected to reach $26.7 billion by 2026, with a CAGR of 20.6%.
Organizations that invest in data engineering are able to process data 15 times faster than organizations that don’t invest in it.
Data Science
Veraqor provides advanced Data Analytics Solutions using AI and machine learning to drive strategic value for organizations. Our Data Science services align with organizational goals, identify key data relationships, and develop advanced analytic solutions such as NLP, computer vision, recommendation systems, and anomaly detection.
Key Benefits
Improved decision-making
Faster time-to-insights
Enhanced performance and efficiency
Accurate and timely analytics
Technical Capabilities
Data Modeling and Analysis
Organizations can build predictive models that help identify trends, outliers, and opportunities in their data. We use advanced analytics techniques such as machine learning and statistical modeling to build accurate and scalable models that help organizations make better decisions.
Data Visualization
Intuitive and interactive visualizations help organizations understand and communicate their data effectively. Our visualizations help organizations identify trends, patterns, and outliers in their data. This lays out all the possibilities for using the data in the right manner by applying the right criterion to extract appropriate results.
NLP-Powered Insights & Growth
We use NLP or natural language processing to extract insights from unstructured data such as customer feedback, social media comments, sentiment analysis, and support tickets. Our NLP models help organizations identify trends and themes in their data that can inform decision-making.
Data Science Trends
The global data science market is expected to reach $140.9 billion by 2024, with a CAGR of 31.2%.
The global machine-learning market is expected to reach $96.7 billion by 2025, with a CAGR of 43.8%.
Organizations that adopt data science can see a 20-30% improvement in productivity and efficiency.
Business Insights
Veraqor’s valuable Data Analytics Services help organizations gain insights from their enterprise data. Our business insights services assist in identifying data relationships and uncovering significant insights for informed decision-making across all levels of the organization.
Key Benefits
Relevant & Accurate Reporting
Access to Quality Data
Quick Access to Key Insights
Faster Decision-Making
Technical Capabilities
Data Exploration and Analysis
Our team uses advanced analytics techniques such as machine learning and statistical modeling to develop accurate and scalable models that help organizations identify trends, outliers, and opportunities in their data. By exploring the data and analyzing it in detail, we can help organizations make informed decisions that drive business value.
Data Visualization
In addition to data exploration and analysis, our team also specializes in creating eye-catching dashboards and interactive visualizations that communicate insights effectively. We utilize data-driven automation and delivery design services to create visually appealing and impactful visualizations that help organizations understand their data and make informed decisions.
AI-Powered Insights and Automation
At Veraqor, we leverage the power of artificial intelligence and other decision-making applications to help organizations gain deeper insights into their data. Our AI-powered models and algorithms help organizations automate processes, identify patterns and trends, and drive better decision-making.
Business Insights Trends
The global Business Insights market is projected to reach $140.9 billion by 2024, with a CAGR of 31.2%.
The use of AI in data analytics is expected to grow rapidly, with the global machine learning market projected to reach $96.7 billion by 2025, with a CAGR of 43.8%.
Organizations that adopt data analytics and business insights can see a 20-30% improvement in productivity and efficiency.
Data Governance
Veraqor’s Data Governance services enable organizations to comprehensively address challenges related to data management. Leveraging our expertise and experience in data governance, we provide solutions and strategies to maximize the business value of data throughout its lifecycle. Our data analytics solutions ensure appropriate governance protocols at every step of the organization’s data lifecycle.
Key Benefits
Improved data quality and accuracy
Greater transparency and accountability
Enhanced compliance and risk management
Improved decision-making
Technical Capabilities
Microsoft Purview Implementation
We implement Microsoft Purview to establish a unified data governance platform for our clients. This powerful solution enables organizations to discover, manage, and secure all their data assets while also staying compliant with industry regulations and standards.
Master Data Management (MDM) Implementation
We implement MDM solutions to ensure the accuracy and consistency of data across the organization. This helps our clients make better decisions by providing them with a single source of truth for their data assets that can be used for predictive modeling, forecasting, and more.
Data Governance Policies and Frameworks
To ensure the proper use and management of data throughout its lifecycle, we ensure compliance with data governance policies and frameworks based on industry best practices and relevant regulations. This helps ensure that sensitive information is always protected.
Data Catalog Creation
We create data catalogs that enable our clients to easily discover and access their data assets from one centralized location. This makes it easy for stakeholders to quickly find what they need without having to search through multiple systems or platforms. The catalog also provides transparency into how different datasets are related.
Data Governance Trends
The global data governance market is expected to reach $5.7 billion by 2024, with a CAGR of 22.0%.
The global Master Data Management market is expected to reach $27.9 billion by 2025, with a CAGR of 19.8%.
Organizations that implement data governance can see a 20-40% improvement in data quality and accuracy.
Industry Scenarios
Generating Business Value Across Industries
Enterprise cloud solutions that provide real-time, actionable insights.
Using cloud and analytics, this solution helps oil and gas companies centralize their assets data and manage it effectively. This allows them for improved decision-making around maintenance schedules and investment in new equipment.
This solution allows COOs to look after their equipment effectively, use sensor data and analytics, closely monitor their equipment performance in real-time, and predict when maintenance is needed. The cloud can fast-process vast volumes of data to extract real-time insights, leading to cost-effective and efficient operations.
Through the cloud’s real-time processing, organizations can monitor any external environmental factors, such as air and water quality, enabling them to be aware of any potentially harmful impacts. This also helps companies ensure their workforce’s safety, avoiding any hazardous operations that may result in a catastrophe.
Retail Manufacturing Data Analytics report enables organizations to use powerful tools and a data-driven approach to make intelligent decisions. It allows businesses to analyze and follow up on progress and study consumer behaviors.
This solution helps gather and compile important data from the organization and present it through a dashboard. By bringing together all the IT asset information and developing relations with financial information, it provides complete health of the IT infrastructure that is critical to your business growth.
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
The advancements in computing power and declining hardware costs have opened new possibilities in the healthcare industry. High-performance computing clusters can run complex simulations and model diseases, drug interactions, and clinical trials. This can enable healthcare providers to make faster and more accurate decisions, leading to better patient outcomes.
Collaboration and data sharing across multiple organizations are increasingly important in today’s healthcare industry. Establishing collaborative data-sharing platforms and networks can enable seamless data exchange and analysis across hospitals, research institutes, and pharmaceutical companies. This can accelerate research, improve treatment outcomes, and help identify new approaches to healthcare challenges.
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
The CFO is looking to comprehend the business performance across the key countries and regions. This particular demo presents usual finance department business scenarios explaining revenue growth and profitability, planning, analysis, and expense management.
Customer Evidence
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.
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