Burt intelligence

    • Burt | One-Stop Solution for Revenue Intelligence
    Added on 25 October 2021
    By consolidating your reporting, you'll be able to surface insights clearly and quickly. Look for software with features like: Launching ads across digital channels, optimizing campaigns, managing client expectations — advertising operations involves a lot of moving parts. And getting a clear view into what’s working and what isn’t can feel nearly impossible. That’s where your analytics model, or analytics framework, comes in. It
    streamlines the way you gather, analyze, and learn from your data. It empowers your team to glean more insights with less effort. And it’s critical to the health of your advertising operation.
    But what is an analytics model? What should it look like? And how does it improve efficiency? Read on for the answers.
    What is an analytics model?
    An analytics model puts systems in place that empower your team to make informed optimizations on ad placements in an efficient way. In other words, it’s the framework for data analytics that your advertising operations team puts in
    place. Each analytics model should include:
    ● A documented process
    ● Ad reporting software
    ● Organizational buy-in
    ● A learning culture
    The exact analytics model varies based on the business, because every business has unique reporting needs. What works for your business may not work for the next. But you can follow these loose guidelines to build the model that works for your team.

    The benefits of a strong analytics model

    Eighty-seven percent of companies believe their analytics strategy didn’t provide optimized business outcomes.
    Your analytics strategy should support your business, not work against it.

    Improve your analytics model to strengthen processes for your team members while elevating data integrity to the highest standards. Here’s more on the benefits. Less time spent reporting Most data analysts spend 80% of their time cleaning, organizing, and pulling data — and only 20% of their time on analyzing it. Don’t accept this 80/20 balance for your business. A more sophisticated approach to analytics will help automate
    and streamline your reporting process. A Burt Intelligence customer, for example, moved from spending six hours each day on reporting to two minutes.
    Read More : https://www.burtintelligence.com/s/Create-a-Data-Analytics-Maturity-Model.pdf

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