Data Strategy Consulting Services in Saudi Arabia

Most data around the globe sits underutilized, but with Veraqor’s data strategy consulting services in the Saudi market, enterprises have a chance to optimize their data management and make better and smarter decisions, speeding toward growth, aligned with the Saudi Vision 2030.

Data

75%

of generative AI users aim to automate tasks and enhance work communication.

61%

of workers, especially CXOs currently use or plan to adopt generative AI.

68%

believe generative AI improves customer service across industries.

How Saudi Enterprises Can Get Ahead

Eliminating Data Silos for Unified Systems
Fragmented data systems hinder collaboration and slow decision-making. By breaking down silos, Saudi organizations can create unified data streams, enabling better teamwork, improved analytics, and enhanced operational efficiency.

67%

say it maximizes the value of other tech investments like Custom AI and machine learning
Enhancing Data Quality for Trustworthy Insights
Inconsistent or incomplete data undermines business decisions. By implementing strategies to ensure consistent and high-quality data, companies in Saudi Arabia can rely on precise insights to drive growth and efficiency.

73%

are concerned about generative AI introducing new security risks
Activating Data for Strategic Integration
Untapped data limits the potential for growing Saudi companies across industries. Activating and integrating data unlocks its true potential value, enhancing AI adoption and enabling actionable insights for innovation and active and advanced decision-making.

~ 60%

planning to use generative AI are unsure how to ensure data security and trust
Strengthening Security and Compliance
Data breaches and non-compliance pose serious risks for enterprises in KSA. By implementing robust frameworks, organizations safeguard sensitive information while ensuring adherence to local and global regulations.

67%

of IT leaders have made generative AI a priority for their business over the next 18 months
Aligning Strategy with AI for Business Evolution
A misaligned data strategy delays AI initiatives and can de-track Saudi companies from chasing Saudi Vision 2030 goals. Realignment within data enables seamless integration of Generative AI, driving innovation and supporting smarter, faster decision-making.

44%

of organizations are piloting generative AI, and 10% have already put it into production

How We Leverage Strategic Data Strategies

Veraqor’s data strategy consulting solution for enterprises makes data work for you by turning raw insights into strategic actions that drive growth, streamline operations, and deliver measurable results.

Our Partnerships

PRimo-RPA-white

Growth Recognition

CL-KSA
USA

Featured Customer Story

See How Organizations Are Innovating

Situation

bp faced the challenge of managing vast and complex data streams essential to realizing its net zero ambitions by 2050. Data fragmentation hindered efficiency and governance, necessitating a solution to centralize and optimize data utilization.

Solution

Leveraging Microsoft’s Intelligent Data Platform, bp streamlined data management and governance, integrating cloud and on-premises sources with Azure Synapse and IoT services. This empowered accelerated production of data products, AI model training, and enhanced carbon emissions tracking to support net zero goals.

Impact​

The Intelligent Data Platform facilitated collaboration, removing silos and strengthening data governance. Azure Data Services enabled end-to-end data management, enhancing reliability, trustworthiness, and data protection. With Azure Digital Twins, bp predicts emissions reduction opportunities and models innovative energy solutions, driving progress towards sustainability objectives.

Situation

The Provincial Health Services Authority (PHSA) recognized the pressing need for swifter and more comprehensive health insights across British Columbia, it acted swiftly. Outdated, inconsistent data requests hindered analysis and insight sharing. PHSA had to transition its healthcare analytics platform to Microsoft Azure, establishing a scalable and secure data analysis platform with centralized data.

Solution

Migrating their enterprise data warehouse to Microsoft Azure, PHSA crafted the Platform for Analytics and Data (PANDA) with Single Source of Truth. By harnessing Azure’s capabilities, PANDA aimed to enhance health data accessibility, literacy, and analytics for formerly segregated healthcare analysts and scientists at PHSA.

Impact​

Amid the onset of the COVID-19 crisis, PHSA’s Project PANDA took on new urgency. Azure’s capabilities enabled PHSA to swiftly deliver critical metrics like COVID-19 cases and hospital capacities, facilitating informed decision-making. Through meticulous collaboration with Microsoft, PHSA ensured that health data remained securely within Canada, aligning with governmental regulations.

Situation

To stay ahead of the curve, it has become imperative to invest in getting valuable insights along with data security and compliance. Understanding that, and to effectively unlock and uncover deeper insights from its vast data reserves and ensure data governance and compliance, leading global bakery company Grupo Bimbo embarked on a data landscape modernization journey.

Solution

The company adopted Microsoft Purview, a cloud-based data governance solution, to address its data challenges. This solution enabled Grupo Bimbo to centralize and manage data from diverse sources into a unified platform, facilitating easier access and analysis. Moreover, it empowered the company to leverage advanced analytics capabilities to extract valuable insights from its data, ultimately informing informed decision-making.

Impact​

By embracing Microsoft Purview, Grupo Bimbo has achieved significant improvements in data quality and consistency thanks to streamlined data management processes. Furthermore, the company has witnessed enhanced decision-making fueled by data-driven insights across operations, marketing, and product development. Moreover, automation of data governance tasks has led to increased efficiency and freed up valuable IT resources for other strategic initiatives.

Situation

Proterial, a leading Japanese manufacturer of precision machinery components, faced roadblocks hindering their ability to thrive in an evolving market. Their legacy on-premises infrastructure lacked scalability, limiting their capacity to adapt to growing customer demands. Fragmented data across various disconnected systems hampered access to valuable insights, hindering data-driven decision-making.

Solution

Proterial shifted operations to Microsoft Azure to address challenges and seize new opportunities. Azure’s cloud infrastructure provided agility and scalability, enabling swift adaptation to market changes and seamless expansion. Consolidating data on Azure facilitated unified access, empowering informed decision-making. Proterial ensured data protection and regulatory adherence, enhancing overall security.

Impact

​ Proterial’s transition to Microsoft Azure has brought significant benefits, including streamlined processes and improved data accessibility, which have boosted operational efficiency, allowing Proterial to prioritize core business activities and drive growth. Moreover, Azure’s data-driven insights enabled informed decision-making, optimized resource allocation, and enhanced competitiveness.

Generating Business Value Across Functions

Optimizing Patient Care with Predictive Analytics

By leveraging patient data, healthcare providers can predict disease outbreaks, personalize treatments, and improve resource allocation. Predictive analytics ensures better patient outcomes while optimizing operational efficiency.

Enhancing Customer Experience with Personalized Marketing

Retailers can analyze purchase histories and preferences to deliver targeted marketing campaigns. Data insights ensure higher customer satisfaction and increased sales through personalized shopping experiences.

Improving Production Efficiency with IoT Data

IoT-enabled factories can monitor machinery and optimize workflows using real-time data. This reduces downtime, prevents costly breakdowns, and enhances overall production efficiency.

Strategic Planning for Exploration Projects

Oil and gas firms can integrate seismic data and satellite imagery with advanced analytics. This supports precise exploration planning, minimizes risks, and ensures efficient resource utilization.

Enhancing Learning Outcomes with AI-Driven Insights

Educational institutions can analyze student performance data to tailor learning pathways. AI tools ensure personalized education plans that improve learning outcomes and institutional success.

Real-Time Site Monitoring for Safety Compliance

Construction companies can utilize real-time data to monitor site safety and track compliance with regulations. This proactive approach ensures hazard prevention and enhances workforce safety.

Streamlining Public Service Delivery

Government agencies can use data analytics to identify inefficiencies and improve the delivery of public services. Enhanced insights help optimize resources and elevate citizen satisfaction.

Optimizing Fleet Operations with Predictive Analytics

Logistics companies can analyze vehicle data to predict maintenance needs, optimize routes, and reduce fuel consumption. This ensures timely deliveries, cost efficiency in money spent on fuel, and improved transparency.