self service analytics best practices

Self Service Analytics Best Practices for Increased Marketing Efficiency

self service analytics best practices

As a brand, your analytics measurement program is one of the most important sources of data-driven insights to better inform your overall digital marketing strategy. It is important that your analytics measurement tool allows you to quickly measure performance, diagnose performance issues, and take data-driven counter-measures where needed. 

In order to evaluate this, our clients often enlist our help to complete an analytics audit. One of the most common results in these audits is that many brands waste valuable time, money, and resources stitching together disparate data sources from poorly developed or deployed analytics reports and dashboards. 

At DELVE, we aim to solve this inefficiency with self-service analytics. In each phase of the project, we focus on self-service analytics best practices that follow the CRISP-DM (cross-industry process for data mining) approach.

  1. Business understanding
  2. Data understanding, 
  3. Data preparation
  4. Analysis and Visualization 
  5. Packaging (Evaluation)
  6. Deployment 

Our data science experts use this methodical and organized approach to help brands achieve maximum productivity and added value in their analytics. As a result, our clients can make smarter marketing decisions backed by the intelligence of their own data. 

You can learn about what we focus on during each phase of a self-service analytics project by filling out our form below. 

You’ll get access to our full self-service analytics guide so that you can learn about self-service analytics best practices and self-service analytics benefits for your brand.

DELVE Experts
delve.experts@delvepartners.com


Self Service Analytics Best Practices for Increased Marketing Efficiency

As a brand, your analytics measurement program is one of the most important sources of…

Self Service Analytics Best Practices for Increased Marketing Efficiency

self service analytics best practices

As a brand, your analytics measurement program is one of the most important sources of data-driven insights to better inform your overall digital marketing strategy. It is important that your analytics measurement tool allows you to quickly measure performance, diagnose performance issues, and take data-driven counter-measures where needed. 

In order to evaluate this, our clients often enlist our help to complete an analytics audit. One of the most common results in these audits is that many brands waste valuable time, money, and resources stitching together disparate data sources from poorly developed or deployed analytics reports and dashboards. 

At DELVE, we aim to solve this inefficiency with self-service analytics. In each phase of the project, we focus on self-service analytics best practices that follow the CRISP-DM (cross-industry process for data mining) approach.

  1. Business understanding
  2. Data understanding, 
  3. Data preparation
  4. Analysis and Visualization 
  5. Packaging (Evaluation)
  6. Deployment 

Our data science experts use this methodical and organized approach to help brands achieve maximum productivity and added value in their analytics. As a result, our clients can make smarter marketing decisions backed by the intelligence of their own data. 

You can learn about what we focus on during each phase of a self-service analytics project by filling out our form below. 

You’ll get access to our full self-service analytics guide so that you can learn about self-service analytics best practices and self-service analytics benefits for your brand.

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