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We helped improve operational agility and reduce turnaround time by implementing Customer Data Platform (CDP)

Case Study

We helped improve operational agility and reduce turnaround time by implementing Customer Data Platform (CDP)

The Results
Substantial decrease in BI team workloads
Achieved faster data retrieval times, enhancing overall operational efficiency.
A single customer view across products promotes consistency and coherence in customer data.
Enabled the creation of segments based on different criteria and conditions across various products.
The Challenge
1 Data Fragmentation and Management Complexity​​

The client, a credit service company offering a range of credit and finance products, manages data for approximately 2 million actively transacting customers. ​ The client grappled with challenges related to ineffective marketing efforts and missed revenue opportunities. The business units heavily relied on the BI team for data extracts due to siloed datasets, causing operational inefficiencies, execution delays, and straining resources.​​

As the company expanded, the surge in customer data across multiple systems and marketing channels led to fragmented data silos. This resulted in incomplete records and inconsistent data quality, impacting all business units. This fragmentation hindered a comprehensive view of the customer journey, undermining the accuracy of customer analysis for segmentation strategy and activation approaches.​​

2 Overreliance on BI for Data Access​

Business units were reliant on the BI team for data extracts due to the isolated nature of datasets, preventing them from obtaining data autonomously. This caused a bottleneck, resulting in time-consuming processes, project timeline delays, and an overburdened BI team. These challenges collectively impact the overall agility and performance of the business.​

ADA implemented a system that enables direct, self-service data access for business units, crucial to streamlining workflows, expediting decision-making, and relieving the excessive demands placed on the BI team.​

The Solution

With the implementation of the Customer Data Platform (CDP), the client could unify customer data from all sources, cleanse it, and make it available for analysis, segmentation, and activation. The solution enabled the client to personalise interactions and deliver a better customer experience. By consolidating customer data into a single source of truth, they could perform credit criteria analysis and improve the SLA / abandoned rate when handling customer inquiries. Furthermore, the CDP solution eliminated the need for multiple tabs to view customer information in our core system, thereby increasing productivity.​​

The Master Segment Creation feature was used to develop a Centralised Customer Data Repository. This repository efficiently stores all relevant customer data, including personal details, contact information, current active product details, past application history, card transaction details, loan repayment history, etc. Additionally, a comprehensive Data Dictionary was created for business users.​​

This implementation provided the client with a unified 360-degree view of customer data, significantly enhancing data integrity and management. It aided in the accurate creation of customer segments, enhancing marketing and customer service strategies.​​

To address the challenge, ADA developed three automated dashboards using Power BI, exporting unified customer data from the CDP. These dashboards include a Single Customer View Dashboard, a Cross-Sell Campaign Report, and a Customer Demographic Dashboard. The primary goal was to reduce the reliance on the BI team by providing direct access to essential data visualisations and insights.​

The dashboards featured performance metrics, interactive filters, and clear data visualisations to track progress towards specific goals, customising views based on individual needs, and displaying data in an easily understandable format.​

This implementation enabled business unit teams to take swift actions, reduced the turnaround time for generating insights, and ensured data accuracy by eliminating manual processes. The prioritisation of these dashboards was determined by the project team, aligning with the specific needs of different business units within the company.​

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We helped a digital-first company create major cost & time savings with data synchronisation and automation

Case Study

We helped a digital-first company create major cost & time savings with data synchronisation and automation

The Results
0 hrs
Time saved every month.Finance now relies on a singular, definitive source for reporting regulatory reports.
0 %
Of the cost saved on the monthly fines previously accrued for tardy tax filings with the government.
The Challenge

Our client is a major player in India’s digital healthcare realm, operating in both B2B and B2C sectors. Offering medicines, diagnostics tests, online consultations, and healthcare products, the platform connects users and retailers with trusted vendors and professionals, revolutionizing healthcare accessibility in the nation.

The client’s finance team faced significant challenges in their monthly processes, spending a minimum of 40 labour-intensive hours manually verifying and correcting missing data in Microsoft D365.

With no unified source of truth, they struggled to consolidate data from disparate sources, leading to manual reconciliation efforts and delays in filing regulatory financial reports. Consequently, these inefficiencies resulted in fines imposed by the government due to late submissions.

The Solution
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Bar charts showing the number of terminated customers between the termination of the contract and the start date of the new contract, the number of unsubscribed customers by sales channel, the number of unsubscribed customers through purchasing channel, the number of customers lost by store, and more.
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We transformed client’s operations through Customer Data Platform (CDP) integration for growth and enhanced revenue streams

Case Study

We transformed client’s operations through Customer Data Platform (CDP) integration for growth and enhanced revenue streams

The Results
Our campaign witnessed an increase of conversion rates from 2.78% to 3.04% in cross-sell campaigns.
Achieved faster data retrieval times, enhancing overall operational efficiency.
A single customer view across products promotes consistency and coherence in customer data.
Enabled the creation of segments based on different criteria and conditions across various products.
The Challenge
1 Data Fragmentation and Management Complexity

The client, a credit service company, grappled with challenges related to ineffective marketing efforts and missed revenue opportunities. The business units heavily relied on the BI team for data extracts due to siloed datasets, causing operational inefficiencies, execution delays, and straining resources.

As the company expanded, the surge in customer data across multiple systems and marketing channels led to fragmented data silos. This resulted in incomplete records and inconsistent data quality, impacting all business units. This fragmentation hindered a comprehensive view of the customer journey, undermining the accuracy of customer analysis for segmentation strategy and activation approaches.

2 Inadequate Customer Segmentation and Campaign Strategy

The absence of a unified customer dataset and analysis capabilities resulted in inefficient and ineffective customer segmentation strategies. The marketing team’s inability to perform informed data analysis impeded the creation of personalised and high-converting campaigns, leading to less impactful marketing efforts and lost revenue opportunities.

ADA implemented a Customer Data Platform (CDP) to resolve the challenges faced by the client.

The Solution

With the implementation of the Customer Data Platform (CDP), the client could unify customer data from all sources, cleanse it, and make it available for analysis, segmentation, and activation. The solution enabled the client to personalise interactions and deliver a better customer experience. By consolidating customer data into a single source of truth, they could perform credit criteria analysis and improve the SLA / abandoned rate when handling customer inquiries. Furthermore, the CDP solution eliminated the need for multiple tabs to view customer information in our core system, thereby increasing productivity.

The Master Segment Creation feature was used to develop a Centralised Customer Data Repository. This repository efficiently stores all relevant customer data, including personal details, contact information, current active product details, past application history, card transaction details, loan repayment history, etc. Additionally, a comprehensive Data Dictionary was created for business users.

This implementation provided the client with a unified 360-degree view of customer data, significantly enhancing data integrity and management. It aided in the accurate creation of customer segments, enhancing marketing and customer service strategies.

The client employed the Audience Studio feature for seamless customer segmentation creation. An advanced Propensity Scoring model at the Product Category Level was developed. This model assigns propensity scores to customers for each product SKU or Scheme, assessing the likelihood of a customer successfully applying for specific products across six main product categories. The scores range from 0 to 1, indicating the level of fit between the product category and the customer’s needs and preferences.

The function streamlined the segmentation process, allowing for quick and intuitive creation and management of customer segments. Meanwhile, the Propensity Scoring model provided a quantifiable measure of a customer’s likelihood to engage in cross-selling campaigns.

This dual approach not only improved the accuracy and efficiency of targeting in marketing campaigns but also optimised resource allocation by focusing efforts on customers with the highest propensity to convert, significantly enhancing the effectiveness of marketing strategies.

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We helped a multi-national electronics firm improve performance by enabling data-driven, automated decision making

Case Study

We helped a multi-national electronics firm improve performance by enabling data-driven, automated decision making

The Results
Improved visibility & planning for BU Performance across HQ & RHQ.
Dynamic & Interactive dashboards that provide data across multiple cuts and levels.
Automated report refresh with no manual effort & zero errors.
The Challenge

Optimizing the performance of individual business units is a cornerstone of sustained success. Our client, a renowned Japanese multinational conglomerate, operates across diverse sectors, including photography, electronics, biotechnology, and chemicals.

However, confronted with the challenge of manual reporting processes, they sought a streamlined solution to automate analytics for headquarters (HQ) and regional HQs across their various business units.

To address this pressing need, our client embarked on the implementation of a Business Intelligence (BI) Dashboard. Through this initiative, our client aims to enhance efficiency and maintain its leadership across multiple industries.

The Solution

We developed a Business Intelligence (BI) Dashboard – an automated tool that enables real-time analysis of financial performance, eliminating manual efforts and providing actionable insights

Cash Conversion Cycle

  • Cash Conversion Cycle: Trend of Budget vs Actual
  • Amount Receivable & Payable
  • Inventory Trend
  • Gap Analysis: Inventory, AR, AP, WC

Corporate Level View

  • HQ vs Regional HQ Analysis
  • COGS, Sales, & AR/AP Days
  • Business Unit Level Analysis & Comparison

Planning

  • AR, AP, & Inventory Turnover Days
  • Cash Cycle Conversion Days
  • Business Unit Level Analysis & Comparison
Dashboard Visualizations Examples
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We assisted a prominent regional company in enhancing their contract management process, resulting in significant time savings​

We assisted a prominent regional company in enhancing their contract management process, resulting in significant time savings​

The Results
0 %
Reduced Processing Time at the Contract Review Phase​
Easier identification of critical contract groups & corresponding processing time. Automated report refresh with no manual effort & zero errors​
The Challenge

In the fast-paced realm of biotechnology, strategic decision-making is imperative for success. Our client, a prominent biotechnology company, is dedicated to pioneering scientific advancements to deliver life-saving medicines to those in need. ​

However, amidst their commitment to innovation, they faced a significant operational challenge: effectively managing contracts across diverse categories. ​

Recognizing the need for data-driven insights to streamline contract processing, our client sought to implement a robust Business Intelligence (BI) Dashboard. This dashboard would offer a comprehensive overview of contract categories and processing times, enabling informed decisions to optimize efficiency and drive operational excellence.​

The Solution
1 Contract Management Dashboard
  • Summary of Contract by Status.​
  • Distribution of contract across owner organization.​
  • Contract distribution & USD value across business category.​
  • Dynamic charts whose X axis changes based on selection.​
2 Average Processing Time​

We developed a Business Intelligence (BI) Dashboard that offers a comprehensive overview of contract categories and processing times, enabling informed decisions to optimize efficiency and drive operational excellence, including matrix on​

  • Target metric for the dashboard.​
  • Track Average Processing time across Contract Owner Org, Workflow stage.​
3 Trend​
  • Contract Value Growth over time.​
  • Contract Value Growth over time and contract category.​

The Results
The Challenge
The Solution
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We enabled a leading global retailer to increase revenue through improved targeting and personalisation

We enabled a leading global retailer to increase revenue through improved targeting and personalisation

Results
0 %
Increase in Revenue
0 %
Campaign CTR Increase
Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

The Results
The Challenge
The Solution
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We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Results0.
0 %
Increase in Revenue
0 %
Increase in Click through rates (CTR)
Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

The Results
The Challenge
The Solution
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We improved client’s lead management by integrating Customer Data Platform (CDP) with Salesforce

We improved client’s lead management by integrating Customer Data Platform (CDP) with Salesforce

The Results
Significant increase in qualified lead acquisition and conversion efficiency
Accelerated sales cycles and heightened productivity with minimal manual intervention and time-to-close.
Improved marketing strategies and customer engagement
Reduction in operational costs and maximised ROI
The Challenge

Our client is a leading digital imaging and networking technologies company. They were gearing up for a brand-new marketing initiative. The strategy encompasses the development of a website, a revitalised marketing and sales pipeline, and a comprehensive lead management system.

The Solution
1 Digital Integration

The absence of a cohesive digital ecosystem that encompasses a new website, marketing channels, and a B2B-tailored lead management system. ​

2 Data Consolidation

Lack of visibility due to the absence of seamless integration of various activities and customer interactions into a single platform.​

3 Reporting and Alerts

A need for the development of a comprehensive reporting and dashboard system to provide real-time insights. Establishing an efficient alert mechanism is essential to notify the regional sales teams across 7 countries about critical leads and updates.​

With CDP implementation, ADA helped manage leads more effectively by establishing a cohesive digital ecosystem and streamlining the sales process.​

The Execution
4 Website Integration and Lead Generation

First, we integrated essential lead generation forms such as ‘Contact Us’, ‘Content Download’, and ‘Webinar Registration’ on the website. This captures every customer interaction as a potential lead, funnelling them directly into the sales pipeline and ensuring no opportunities are missed. ​

5 Marketing Channel Integration

​Digital marketing channels like Mailchimp were seamlessly integrated for email campaigns and LinkedIn for targeted ads. This strategy aims to widen the reach and ensure consistent messaging across platforms. ​

6 Lead Segmentation and Alerts

​Next, we implemented an automated system for lead segmentation based on market and other pertinent criteria. This facilitates personalized communication and enables regional sales teams in 7 countries to receive timely alerts about critical leads, ensuring immediate and relevant follow-up. ​

7 Lead Deduplication and Verification

A mechanism was established for de-duplicating lead entries. This system was integrated with Mailchimp to send confirmation emails after form submissions, verifying the authenticity of email addresses. This process enhances the quality of leads and focuses sales efforts on genuine prospects.​

8 Lead Scoring Model

We then developed a comprehensive lead scoring model that ranks leads based on their engagement level, potential for conversion, and other key factors. This model aids in prioritizing leads and strategically guiding them through the sales funnel.​

9 Comprehensive Dashboard and Analytics

We deployed Power BI to create an all-encompassing dashboard, acting as a control centre for real-time monitoring of metrics such as lead funnel progress, engagement rates, conversion rates, and campaign effectiveness. This centralization facilitates informed decision-making and ongoing performance optimization. ​

10 Salesforce Integration

Finally, we integrated the Customer Data Platform (CDP) with Salesforce (SFDC) to provide the sales team with seamless access to comprehensive lead information and customer interactions. This integration ensures an efficient lead management process and enhances the capability of the sales team to effectively engage with leads at every stage of the sales cycle.​

The Results
The Challenge
The Solution
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We helped a leading manufacturer in implementing data-driven strategies for capital management, enhancing their operational efficiency

We helped a leading manufacturer in implementing data-driven strategies for capital management, enhancing their operational efficiency

The Results
Better cash monitoring with expedited account receivable & payable plan
Better supplier & customer relations with focus on timely payments & invoice settlement monitoring
Automated report refresh.
The Challenge

In chemical manufacturing, effective capital management is vital for sustained growth and profitability. Our client, a leading chemical firm with a strong presence in Asia and beyond, has historically maintained a healthy cash surplus ranging from $6 million to $10 million.

However, in the face of market fluctuations, there arises a critical need to utilize this capital strategically for budgeting and planning purposes.

To address this challenge, our client sought to implement a Business Intelligence (BI) Dashboard, enabling data-driven capital management and planning. Through this initiative, our client aims to strengthen its position as a global leader in the chemical industry.

The Solution

We developed a Business Intelligence (BI) Dashboard that serves as a powerful tool for real-time monitoring and analysis of cash flow dynamics, empowering the organization to optimize resource allocation and mitigate financial risks.

Cash Flow Dashboard

  • Cash Inflow, Outflow, & Net Flow across different time filters such as Week, Month, YTD etc.
  • Actual vs Future Cash Flow
  • Financial Breakdown of Cash Flow: Opening Balance, Closing Balance, Receivables etc.

Account Receivable Dashboard

  • Receivables (On-time vs Overdue)
  • Customer-level Tracking of Invoices and Overdue
  • Trend Analysis

Account Payable Dashboard

  • Payable (On-time vs Overdue)
  • Counter Party-level Tracking of Invoices and Outstanding Amount
  • Trend Analysis
Dashboard Visualizations Examples
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The Results
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ADA helped a leading digital first “House Of Brands” gain competitive market intelligence by building a modern data platform on Databricks

Case Study

ADA helped a leading digital first “House Of Brands” gain competitive market intelligence by building a modern data platform on Databricks

The Results
Eliminated manual data collection requirements
Eliminated data discrepancy issues
Enabled data scientists to make dashboards and ML models
The Challenge

The customer is a leading digital-first “House of Brands” venture focusing on fostering the growth in Direct-To-Customer (D2C) in the region.

The company was previously collecting data from their managed brands manually which resulted in data in accuracies and delays in getting business insights for decision making activities. They also had no visibility on data from their managed brands ecommerce platforms and marketplaces.

The Solution

ADA ran several proof-of-concepts(POC) to help evaluate the most suitable cloud platform and technologies. After consideration of price and performance, we helped the customer build an end-to-end data pipeline and data warehouse on Databricks and AWS.

The data pipelines allowed us to gather insights from many different data sources for sales, returns, inventories, and finance.

ADA also built bespoke API connectors for various ecommerce platforms to enrich collected data. We also implemented web scrapping to extract market intelligence on competitors pricing, ranking, and patterns to help drive the customers’ product strategy.

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