5 Data Management Practices Agencies Should Consider

5 Data Management Practices Agencies Should Consider

Agencies are struggling to differentiate their offering and although there is a lot of talk and investments being made in data, there is little guidance available. Here are 5 data management practices that agencies should consider adopting in the near term to stay relevant and differentiate:

  1.     Own and control your data

For long, we have relied on point to point integrations between systems. As long as we have our web analytics connected to our search and fed into our CRM, we complacently believe all is well. Except when that curious marketing analyst from the brand’s team poses an out of the box question. It becomes a full-blown project for your internal teams and after spending weeks extracting data out of various platforms, you are presented an incomplete view in a messy excel sheet.

Owning and managing your brand’s data will enable you to build deeper trust with brands by making their data visible, when they want it, how they want it. This will also allow your data science teams to continuously mine for new insights and deliver added value to clients.

  1.     Capture data at the lowest level of granularity

It is important to have aggregate metrics, summarized reports and dashboards. But the power of raw data is limitless and hugely untapped. Capturing every single user interaction across as many touch points as possible allows for exploratory analysis such as building custom attribution models, overlap matrices, analyzing trends, identifying patterns, applying machine learning and AI.

  1.     Outsource integrations

There is no denying that integrations are extremely time consuming to build and painful to maintain. Data formats and APIs continuously evolve and it takes a whole team of engineers to keep up with. There are a lot of companies out there that specialize in data integration that help abstract the complexity away. Invest in a solution that provides a solid data collection framework with reliability and security built in.

  1.     Build a data platform that lasts

It is easy to fall into the trap of focusing on the short term needs or pains. Building a specific application or a canned dashboard that solves for a short term pain point will only take you so far. Focus on building an open data platform that allows you to keep pace with evolving and emerging needs.

  1.     Make security a priority

Security of your client’s data has to be a key priority. Build security into the data platform you build or the solutions you invest in. Ensure data is always encrypted during transit as well as at rest and the platform has all the necessary compliance to handle the different types of data.

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We have ignored the power of data for too long. Let’s democratize data and listen to what it has to say.

Lakshmi Raman
Lakshmi Raman
Lakshmi Ramesh is the Director of Digital Marketing at Treasure Data.