Case study | Analytics

How DWAO helped Reliance Mutual Fund increase their data accuracy beyond 95%

  • Industry
    BFSI
  • Location
    India
  • Solutions

    Adobe Analytics

    Adobe Target

  • Results

    100x increase in Personalization and testing activities

    95% data accuracy across various digital properties

    2x Adoption of data driven culture

Background
Reliance Mutual Fund is one of the largest asset managers in India.

Reliance Mutual Fund is one of the largest asset manager in India and manages mutual funds,pension funds, managed accounts, alternative investments and offshore funds.

Objective
Reliance Mutual Fund wanted to understand their consumer behavior better.

They wanted to setup accurate measurement platform to understand the customer behavior better. The complete Website was based on AJAX platform and they were facing issues in data and visualizing the user funnels.

They were also struggling in setting up personalization and optimization roadmap as they were coming up with huge revamp and new digital properties.

Solution
DWAO helped them get their data accuracy to 95%.

DWAO helped Reliance Mutual Fund in defining their requirements clearly. Once we had requirements for implementation we proposed centralized data storage and governance architecture for all digital assets. We also helped them to optimize the performance of pages after Target and Analytics were deployed.

 

We conducted workshops to boost data-driven decision making.

After implementation we conducted multiple workshops for Product, Marketing and Senior Stakeholders to understand the solution better. This was huge boost to data driven decision making.

In parallel our Adobe Target consultants conducted various brainstorming sessions with various teams using our four point ideation process. We helped them to clearly define and visualise the way ahead for Optimization and Personalization.

Result
We didn’t just stop there.

Reliance Mutual Fund tracked and analyzed the dashboards everyday to understand the behavioral trend changes as per market fluctuations. We also enabled the team to map the data with third party data sources so that they can measure source wise performance within Adobe Workspace.

We also helped them in setting up funnels in AJAX and single page applications, and are still working with them to increase the data accuracy beyond 95%.

Another important area was improving customer experience for existing users and new users. With optimization and personalization already in place they were able to increase the conversion rates for both existing and new customers and every month we are doing 5-10 new experiments per customer segment.

  • 100%

    Increase in Personalization and Testing activities

  • >95%

    Data Accuracy across various digital properties

  • 2x

    Adoption of data driven culture

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