Are Data Silos Helpful or Harmful?
Posted on Oct 25, 2021 by Ian McGowan
In today’s digital age, businesses shift their operation to increase the amount of data collected for operational analytics that empower organisations to improve and grow. Forced to adopt digital transformation to grow along with the onslaught of data, organisations must have a full 360º view of the information they are collecting to use as a benchmark and guide as to how to do run and improve how they do their business.
Maximising data in order to make informed business decisions is crucial for growth. It has been proven that companies who assess and validate the data they collect are more likely to succeed compared to those who don’t. Another problem that arises for companies with data science models that have not evolved, or where the strategic value of data is not realised d because it is only available in separate data silos.
What are data silos?
Data silos are a serious business problem. It’s where businesses gather machine data in one place, security data in another, customer experience and support data in another––the list goes on.
This structure may make sense at a departmental level, but it prevents collaboration necessary to ensure competitiveness. Companies need an operational data layer that is core to business processes and supports data sharing.
A data’s objectivity decreases any time it is touched by a human. Machine data is objective and provides a single version of the truth––which the whole organisation should have access to. However, it’s impossible to have one version of the truth if the data remains in silos.
Having only one set of operational data gives a leader insight. A business executive like a CEO can recognise if a client is thinking about cancelling by looking at data as wide-ranging as the number of troubleshooting tickets filed to an unsubscribe from the company’s email.
While both of these information came from different data sources when viewed collectively, they all point to one probable outcome. Until data is collected and analysed across the company, it cannot add value and become useful.
Silos defeat collaboration and value creation
It’s not hard for a CEO to make sense of the collected data if they’re keeping an eye on the big picture. One key problem with data collection is that who has access to it can become subjective, reinforcing silos.
Since data can be used as proof of receipt to substantiate and defend business decisions, departments that control their own data elude accountability for errors and mistakes. This business behaviour leads to data silos.
How to build an effective data strategy to avoid data silos
To get a good grasp of the data collected in order to make it useful, recognising where silos exist is critical. Identifying interaction points and aligning them with key performance indicators exponentially compounds the value of your data.
Breaking down data silos is more than the job of the IT department––it’s a practice everyone in the organisation should participate in to build a more collaborative culture. Taking the first step and bringing the executive team together to commit to data sharing is pivotal for this to work.
ADEC Solutions UK can be your partner to make data silos obsolete in your business. They provide data solutions that allow organisations to reach their maximum potential. Learn more about what we offer by booking an appointment with our data experts. Take it as the first step to combat any data issues by getting all your data assured.