OUR SERVICES
Data Driven Integrated Business Planning
Data Driven Financial Planning & Analysis
Cost Allocation Strategy and Analytics
Data Strategy and Transformation
Specialised Analytics
USECASES
A multinational company, faced challenges in optimizing their marketing campaigns across various channels. They struggled to gain a comprehensive understanding of campaign performance metrics, audience engagement, and budget allocation efficiency. The lack of centralized data management hindered their ability to make informed decisions, leading to suboptimal marketing strategies and underwhelming results.
DataStack:
Data Sources: Salesforce, GoogleAds, Linkedin Ads
Ingestion: Fivetran
Data Storage/Warehouse: Snowflake
Visualisation: Tableau
Solution Proposed:
To address these pain points, StratAnalytic implemented a comprehensive marketing analytics solution leveraging cutting-edge technology and advanced analytics tools. We integrated data from multiple sources including Salesforce, GoogleAds, Linkedin Ads, and Adobe Analytics using Fivetran for seamless data ingestion. The data was stored in a centralized data warehouse powered by Snowflake, ensuring scalability, security, and real-time accessibility. For visualization and analysis, Tableau was employed, enabling stakeholders to derive actionable insights through interactive dashboards and reports.
Impact:
The implementation of the marketing analytics solution brought about significant improvements in campaign performance, audience targeting, and budget optimisation for the client. By gaining deep insights into customer behaviour, channel effectiveness, and campaign ROI, they were able to make data-driven decisions, resulting in:
Enhanced audience targeting: The company identified high-value audience segments based on demographic, behavioural, and psychographic attributes, leading to more targeted and personalised marketing campaigns.
Optimised budget allocation: With real-time visibility into campaign performance metrics and attribution modelling, the company optimised their marketing budget allocation, reallocating resources to channels with the highest return on investment.
Improved campaign effectiveness: Leveraging insights from marketing analytics, the company refined their messaging, creative assets, and call-to-action strategies, resulting in increased engagement, conversion rates, and revenue generation.
Performance Increment: Following the implementation of the marketing analytics solution, the company experienced a substantial improvement in campaign performance metrics:
- Conversion rate increased by 25%
- Marketing spend efficiency improved by 30%
- Return on Ad spend (ROAS) rose by 20%
- Customer acquisition cost (CAC) decreased by 15%
Pain Point:
A leading healthcare facility in the UK, faced significant challenges in optimizing revenue, managing inventory efficiently, and streamlining supply chain operations. The hospital struggled with outdated systems and siloed data, leading to inefficiencies, inventory shortages, revenue leakage, and operational bottlenecks.
Solution Proposed:
To address these challenges, the client embarked on a transformative journey by implementing a comprehensive hospital analytics solution. The solution involved leveraging data from multiple sources, including SAP ECC and the Hospital Information System (HIS). Data ingestion was facilitated using Python scripts, ensuring seamless integration and data quality checks. The data was stored and processed in a scalable and high-performance environment provided by Databricks. For visualisation and analysis, Power BI was chosen to create intuitive dashboards and reports that provide actionable insights to stakeholders across revenue, inventory, and supply chain management teams.
KPI’s tracked (Sample):
- Revenue Analysis:
- Revenue by IP/OP, Payment Mode
- Service Type, Sub-Type Level Analysis
- CP Name, Department, and Unit Level YTD and MTD Trends
- Tariff Analysis and Expiring MOU’s
- Patient Analysis – Footfall
- Inventory Management:
- Inventory turnover ratio
- Stockout rate
- Days inventory outstanding (DIO)
- TATs for Procurement, Stock Issue and transfer
- Unit wise Non-Moving, Fast-Moving, Billable/Non-Billable items
- Top and Bottom Moving Products
- Supply Chain Optimization:
- Vendor performance analysis
- Procurement cycle time
- Cost of goods sold (COGS) analysis by supplier
Impact:
The implementation of the hospital analytics solution led to significant improvements across various aspects of operations and decision-making for the client:
Enhanced Revenue Management: By analyzing revenue data, the client identified revenue leakage points, optimized pricing strategies, and minimized claim denials, resulting in a substantial increase in overall revenue.
Improved Inventory Management: Leveraging inventory data analytics, the client optimized inventory levels, reduced stockouts, and improved inventory turnover ratios, leading to cost savings and better utilization of resources.
Streamlined Supply Chain Operations: Through supply chain analytics, the client optimized procurement processes, identified supply chain bottlenecks, and improved vendor management, resulting in smoother operations and reduced supply chain costs.
Performance Increment:
Following the implementation of the hospital analytics solution, the client experienced notable improvements in key performance indicators (KPIs) and operational metrics:
Revenue increased by 15%
Inventory turnover ratio improved by 20%
Supply chain costs reduced by 10%
Pain Point:
A leading player in the Consumer Packaged Goods (CPG) industry, faced significant challenges in optimizing sales, financial management, and supply chain operations. The company struggled with fragmented data sources, manual processes, and limited visibility into critical metrics, resulting in suboptimal decision-making, inventory imbalances, and missed revenue opportunities.
Solution Proposed:
To address these challenges, StratAnalytic embarked on a transformative journey by implementing a comprehensive retail analytics solution. The solution involved leveraging data from SAP HANA and Excel spreadsheets, with data ingestion streamlined through Alteryx for seamless integration, cleansing, and enrichment. The data was stored and managed in a robust SQL Server data warehouse, providing a centralized repository for analysis. For visualization and reporting, Tableau was deployed, empowering sales, finance, and supply chain management teams with intuitive dashboards and interactive reports.
Analysis performed (Sample):
Sales Performance:
- Sales by product category, brand, and location
- Customer segmentation and lifetime value analysis
- Promotion effectiveness and ROI analysis
Financial Management:
- Gross margin analysis by product and channel
- Cost-to-serve analysis for different customer segments
- Profitability analysis by SKU, customer, and channel
Supply Chain Optimization:
- Inventory turnover ratio and days inventory outstanding (DIO)
- Supplier performance analysis and vendor scorecards
- Demand forecasting accuracy and stockout analysis
Impact:
The implementation of the retail analytics solution led to significant improvements across various aspects of operations and decision-making at the client:
Enhanced Sales Performance: By analyzing sales data, the client identified growth opportunities, optimized product assortments, and tailored promotional strategies, resulting in increased sales revenue and market share.
Improved Financial Management: Leveraging financial analytics, the client optimized pricing strategies, managed margins effectively, and reduced costs, leading to improved profitability and financial health.
Streamlined Supply Chain Operations: Through supply chain analytics, the client optimized inventory levels, reduced stockouts, and improved demand forecasting accuracy, resulting in cost savings and better supply chain resilience.
Performance Increment:
Following the implementation of the retail analytics solution, the client experienced notable improvements in key performance indicators (KPIs) and operational metrics:
Sales revenue increased by 20%
Gross margin improved by 15%
Inventory turnover ratio enhanced by 25%
On-time delivery rate rose by 30%
Pain Point:
A prominent player in the aviation industry, faced challenges in optimizing revenue performance due to limited insights into customer behavior, market trends, and pricing strategies. The airline struggled to maximize revenue generation while minimizing costs, resulting in revenue leakage, suboptimal pricing decisions, and missed revenue opportunities.
Solution Proposed:
To address these challenges, StratAnalytics implemented a comprehensive revenue analytics solution. The solution leveraged data from various sources, with Databricks utilized for data processing, transformation, and analysis. For visualization and reporting, Tableau was deployed, providing intuitive dashboards and interactive reports for the Revenue department. The solution enabled the company to gain actionable insights into passenger demand, pricing elasticity, competitive landscape, and revenue optimization opportunities.
KPIs (Sample):
The project involved tracking and analyzing several complex KPIs to measure revenue performance and identify areas for improvement, including:
- Revenue per Available Seat Mile (RASM)
- Passenger YieldLoad Factor
- Revenue Passenger Kilometers (RPK)
- Revenue per Passenger
- Ancillary Revenue per Passenger
- Average Fare per Segment
- Revenue Management Efficiency Index
Impact:
The implementation of the revenue analytics solution had a significant impact on the company’ operations and financial performance:
Improved Revenue Optimization: By analyzing passenger demand patterns, market dynamics, and competitor pricing strategies, the company optimized pricing decisions, resulting in increased revenue per available seat mile (RASM) and passenger yield.
Enhanced Capacity Utilization: Leveraging insights from load factor analysis, the company optimized flight schedules, seat inventory management, and route planning, leading to improved load factors and revenue generation.
Increased Ancillary Revenue: Through targeted ancillary revenue strategies based on customer segmentation and preferences, the company maximized ancillary revenue per passenger, contributing to overall revenue growth.
Pain Point:
A leading pharmaceutical company, faced challenges in optimizing operations across finance, sales, and manufacturing departments. The company struggled with fragmented data sources, manual processes, and limited insights, leading to inefficiencies, revenue leakage, inventory imbalances, and operational bottlenecks.
Solution Proposed:
To address these challenges, StratAnalytic embarked on a transformative journey by implementing a comprehensive pharmaceutical analytics solution. The solution involved leveraging advanced analytics tools and technologies to analyze data from various sources, including ERP systems, sales databases, and manufacturing systems. For data integration and processing, a robust data analytics platform was implemented, enabling seamless data ingestion, cleansing, and enrichment. Visualization tools such as Tableau were deployed to create intuitive dashboards and reports for finance, sales, and manufacturing departments, providing actionable insights and driving informed decision-making.
KPIs:
The project involved tracking and analyzing several complex KPIs to measure performance across finance, sales, and manufacturing departments, including:
Finance:
- Return on Investment (ROI)
- Profitability Margin
- Working Capital Ratio
- Accounts Receivable Turnover
- P&L Statement Analysis
- Balance Sheet Analysis
- Accounts Payable Analysis
- Accounts Receivable Analysis
Sales:
- Sales Revenue by Product
- Market Share
- Customer Acquisition Cost (CAC)
- Sales Growth Rate
Manufacturing:
- Overall Equipment Effectiveness (OEE)
- Cycle Time
- Production Yield
- Inventory Turnover Ratio
Impact:
The implementation of the pharmaceutical analytics solution had a significant impact on the company’s operations and financial performance:
Improved Financial Management: By analyzing financial data and performance metrics, the company optimized budget allocation, reduced costs, and improved profitability, leading to enhanced financial health and stability.
Enhanced Sales Performance: Leveraging insights from sales analytics, the company identified growth opportunities, optimized pricing strategies, and tailored sales efforts, resulting in increased sales revenue and market share.
Streamlined Manufacturing Operations: Through manufacturing analytics, the company optimized production processes, reduced downtime, and improved product quality, leading to increased efficiency and productivity.