Scalable analytics foundations are designed to grow with your business, supporting increased data volume, users, and advanced analytical needs.
Data Analytics Services
We help businesses across Saudi Arabia design, build, and scale data analytics capabilities from strong; data foundations to advanced insights that support digital transformation.
Power BI Traning
Advanced Power BI Training & Dashboard Development
InfoStream provides a complete Power BI solution that combines advanced training with professional dashboard development. We don’t stop at teaching Power BI. We train your team and build real dashboards using your data, so you leave with both skills and working analytics.
Data Warehouse
Centralized Data Platform
Centralised data platforms bring data from multiple sources into a single, reliable system, ensuring consistency, accessibility, and better governance.
Integration & Modelling
We integrate diverse data sources and build robust data models that enable accurate reporting, advanced analytics, and meaningful insights.
Scalable Analytics Foundations
Data-Driven Decision Making Training
Analytics Adoption & Capability Building
We help organizations adopt analytics by building data capabilities, improving skills, and embedding analytics into everyday business processes.
Dashboard Usage & Interpretation
We enable teams to effectively use dashboards by understanding key metrics, interpreting insights, and turning data into meaningful actions.
Data-Led Decision-Making Workshops
Our workshops empower leaders and teams to make confident, data-driven decisions using real-world scenarios and practical analytics tools.
Data Analytics
Projects That Create Impact for Our Clients
Using our solution, the client was able to unify their data and derive insights efficiently and in a timely manner, allowing them to make decisions faster and meet SLA’s, saving tens of thousands of pounds each month in the process
Using our solution, the client was able to unify their data and derive insights efficiently and in a timely manner, allowing them to make decisions faster and meet SLA’s, saving tens of thousands of pounds each month in the process
Using our solution, the client was able to unify their data and derive insights efficiently and in a timely manner, allowing them to make decisions faster and meet SLA’s, saving tens of thousands of pounds each month in the process
Behavioral Segmentation
The behavioural segmentation allowed the client to target the services they offered different customers which led to saving of £40K per month in direct marketing costs.
For an online health retailer, we built a churn model which allowed for highly targeted win-back campaigns resulting in churn reduction by 8% from an average of 27% to 19%, increasing sales by $675K annually.
For an online health retailer, we built a churn model which allowed for highly targeted win-back campaigns resulting in churn reduction by 8% rom an average of from an average of 27% to 19% increasing sales by $675K annually.
By deploying a recommendation engine into their online shopping website, our client saw a 17% increase on basket size, estimated to generate an additional $100K in sales each month
By building a look-a-like model which predicted socio-demographic information for mobile customers, the advertising sales team were able to increase revenue by 35%
The AI image-recognition system identified clothing attributes and helped the business track sales and volume by those attributes, saving tens of thousands of dollars in smarter purchasing.
Our AI robotic process automation application saved this bank over $1m in human resource cost in updating customer records with national identification numbers.
Data Driven Decision Making Training
For Business Leaders
- Build a data-driven leadership mindset
- Improve strategic and operational decisions using data
- Reduce risk and uncertainty in high-impact business choices
- Understanding data analytics for executives (non-technical)
- Applying data insights to real business use cases
- Embedding data into strategy, planning, and forecasting
- Enhanced operational efficiency
- Competitive advantage through insight
- Stronger, faster, and more confident decisions
Tools & Approaches
Executive Analytics Frameworks
Business Dashboards & KPIs
Real-World Data Use Cases
Strategic & Predictive Insights
Dr Shorful Islam
Chief Data Scientist, InfoStream
Tools & Approaches
Executive Analytics Frameworks
Business Dashboards & KPIs
Real-World Data Use Cases
Strategic & Predictive Insights
InfoStream — Trusted Data Analytics Partner in Saudi Arabia
Ready to take the next step?
Tell us about your requirements, and our experts will prepare a custom, no-obligation quotation tailored to your business needs.
Industry-Specific Analytics Built Around Your Data and Goals
We design analytics solutions that align with industry-specific data structures, regulatory requirements, and operational objectives. Each solution is tailored to transform raw data into actionable insights that support informed decision-making.
Industry | Analytics Capabilities We Support |
Retail Analytics | Demand forecasting, inventory optimisation, customer segmentation, and sales performance analysis to support data-driven merchandising and operations. |
Education Analytics | Student performance monitoring, dropout risk prediction, resource allocation analysis, and institutional reporting for academic planning and outcomes. |
Manufacturing Analytics | Production efficiency analysis, predictive maintenance, quality control insights, and supply chain performance visibility. |
Finance Analytics | Fraud detection, risk assessment, portfolio performance analysis, regulatory reporting, and financial forecasting. |
Healthcare Analytics | Patient risk stratification, operational efficiency analysis, compliance-ready reporting, and clinical performance insights. |
Supply Chain Analytics | Demand planning, logistics optimisation, delivery performance tracking, and real-time operational visibility across the supply chain. |
KPI Design & Performance Measurement (KPI)
Measure sales performance, inventory efficiency, customer behaviour, and demand variability to support merchandising, pricing, and operational planning.
Track financial performance, risk exposure, liquidity, compliance metrics, and operational efficiency to enable informed decision-making and regulatory alignment.
Monitor student performance, retention, faculty utilisation, operational efficiency, and institutional outcomes to support academic and administrative planning.
Evaluate production efficiency, equipment utilisation, quality metrics, downtime, and supply reliability to optimise manufacturing operations.
Assess patient outcomes, operational throughput, resource utilisation, compliance indicators, and care quality to improve clinical and administrative performance.
Track demand fulfilment, logistics efficiency, inventory turnover, supplier performance, and delivery reliability across the supply chain lifecycle.
Our 4D Data Analytics
The purpose of the Discover phase is to develop a high-level understanding of the business as a whole, including its technology platforms and the maturity level of its data strategy.
We consolidate insights gathered from both people and technologies to define the current state and deliver actionable recommendations on how to effectively collect and leverage customer and internal data.
During the Develop phase, we collaborate closely with key stakeholders to define success, assess the current technological architecture, and create a roadmap to enhance and scale it.
After defining the development roadmap, we move into the Deliver phase, implementing technical solutions and providing the appropriate mix and level of resources to meet objectives at each stage.
More on Data Analytics Techniques
We specialise in creating meaningful reports, live dashboards, and various data visualisations to meet your business needs. Starting from core business KPIs to in-depth performance metrics, we develop the essential reporting structures to ensure each team in your organisation receives relevant data in the most impactful format. Improve your data-driven decision-making with our expert reporting, dashboards, and visualisation services.
KPI Scorecards
✦ Focused Tracking: Highlight key performance indicators, aligning team efforts with strategic goals
✦ Real-time Monitoring: Enable immediate corrective actions with up-to-date data.
✦ Informed Decisions: Facilitate better decision-making with accurate and current metrics
Dashboards
✦ Centralised Data: Aggregate data from various sources for easy access.
✦ Visual Insights: Use charts and graphs to simplify data interpretation.
✦ Customizable Views: Tailor dashboards to user-specific needs for relevant information.
Business Intelligence Reports
✦ Detailed Analysis: Provide an in-depth examination of business operations.
✦ Forecasting: Use historical data to predict future trends.
✦ Benchmarking: Compare performance against standards or past data.
Performance Reports
✦ Regular Reviews: Track progress consistently over time.
✦ Accountability: Promote transparency and responsibility within the organisation.
✦ Identify Areas: Highlight strengths and weaknesses to target for improvement.
Whether you have a hundred customers or hundreds of millions, we specialise in analysing your data to deliver customer segmentation and profiling solutions that drive growth, retention, and loyalty.
We are experts in all forms of customer segmentation and profiling, leveraging both supervised and unsupervised machine learning technologies. Our proprietary methodologies ensure a customised segmentation solution tailored specifically to your business needs—boosting marketing effectiveness and customer engagement.
Segmentation Models
✦ Monetary
Revenue Optimisation: Identify high-value customers for retention and upselling
Cost Management: Monitor spending patterns to maximise profit margins
Financial Health: Enable informed budgeting and investment decisions
RFM (Recency, Frequency, Monetary)
Customer Segmentation: Group customers based on purchasing behaviour
Loyalty Programmes: Reward frequent and high-value customers
Churn Reduction: Identify at-risk customers and improve retention
Product
Product Development: Identify top-performing products to guide innovation
Inventory Management: Optimise stock levels based on demand
Pricing Strategy: Adjust pricing using product performance insights
Attitudinal
Customer Satisfaction: Analyse feedback to understand preferences
Brand Loyalty: Strengthen loyalty through perception analysis
Targeted Marketing: Align messaging with customer values
We utilise standard and proprietary predictive and machine learning algorithms to build advanced AI models that help your organisation understand future business performance and customer behaviour. Our data scientists apply their expertise in advanced mathematics, statistics, predictive and prescriptive analytics, machine learning, deep learning, computer vision, and natural language processing (NLP) techniques. We provide real-time models and insights that deliver significant commercial advantages to your company. Unlock your business potential with our predictive and machine learning models and gain a competitive edge with data-driven insights.
Cross Sell Model
✦ Increased Revenue: Recommend complementary products to boost overall sales
✦ Enhanced Customer Value: Improve lifetime value with relevant offers
✦ Customer Retention: Strengthen relationships by meeting broader needs
Upsell Model
✦ Higher Sales Per Transaction: Increase average order value
✦ Product Awareness: Promote premium products and features
✦ Improved Profit Margins: Focus on higher-margin offerings
Next Best Action
✦ Personalised Recommendations: Suggest optimal actions per customer
✦ Higher Conversion Rates: Present the most relevant next step
✦ Enhanced Experience: Deliver timely, contextual interactions
Pricing Models
✦ Optimised Revenue: Apply dynamic pricing based on demand
✦ Competitive Advantage: Adjust prices in real time
✦ Customer Segmentation: Target segments using price differentiation
Churn Model
✦ Retention Strategies: Identify and retain at-risk customers
✦ Customer Loyalty: Address churn drivers proactively
✦ Cost Savings: Reduce acquisition costs through retention
Basket Analysis
✦ Product Placement: Optimize layout using purchase patterns
✦ Promotional Strategy: Bundle and discount related items
✦ Inventory Management: Improve stock planning
Propensity to Pay / Subscribe
✦ Targeted Marketing: Focus on high-likelihood customers
✦ Revenue Forecasting: Predict future revenue streams
✦ Product Development: Align offerings to payer segments
Recommendation Engine
✦ Personalized Suggestions: Increase sales relevance
✦ Customer Engagement: Deliver timely, meaningful recommendations
✦ Higher Conversion: Boost purchase likelihood
We specialise in analysing your marketing and loyalty program activities using machine learning, attribution modelling, and econometric analysis. Our services provide insights into both short-term and long-term effectiveness, as well as ROI measurement. Utilising advanced techniques, we can identify prospective customers based on current high-value customers and determine the optimal channels to reach them. We also analyse data from various rating systems, including TV, radio, newspapers, and more to enhance your marketing strategies.
Customer Selection Lists
✦ Targeted Marketing: Reach the right customer segments
✦ Higher Conversion Rates: Focus on customers most likely to respond
✦ Cost Efficiency: Reduce spend by avoiding untargeted campaigns
Campaign Performance Reports
✦ Performance Tracking: Measure what works and what doesn’t
✦ Informed Adjustments: Optimise campaigns using real-time insights
✦ Resource Allocation: Invest in the highest-performing initiatives
A/B Testing
✦ Campaign Optimisation:
Identify best-performing variants
✦ Customer Insights: Understand preferences and behaviours
✦ Risk Reduction: Validate strategies before full rollout
ROI Analysis
✦ Investment Effectiveness: Measure financial impact accurately
✦ Strategic Decisions: Allocate budgets using ROI insights ✦Performance Benchmarking: Identify the most profitable campaigns
Churn Model
✦ Retention Strategies: Identify and retain at-risk customers
✦ Customer Loyalty: Address churn drivers proactively
✦ Cost Savings: Reduce acquisition costs through retention
Insight Analysis
✦ Deep Understanding: Analyse customer behaviour and market trends
✦ Informed Strategies: Drive actions using data-led insights
✦ Problem Identification: Detect and resolve performance issues early
Attribution Models
✦ Channel Effectiveness: Identify channels driving conversions
✦ Customer Journey Insights: Understand touchpoint influence
✦ Improved ROI: Optimise spend toward high-impact channels
Meet Our Expert
Have a Question About Data Analytics Service?
- Dr Shorful Islam
Chief Data Scientist, InfoStream
- Data Warehouse
- Data Driven Decision Making
- Data Analytics
Prefer email? Contact us at contact@infostream.sa
Prefer email? Contact us at
contact@infostream.sa
















