Our Eurostaff Expert and CEO at datazuum Samir Sharma gives us his thoughts on data strategy, infrastructure, integration, governance, and culture, which he believes will impact organisations in 2018. Last year was the year of technology but Samir feels that in 2018 the key trends will be more strategic in nature than technical.
Over this week Samir will give you a prediction a day, so keep an eye out to learn more!
#1 Data Prediction - Every Business Will Need A Data Strategy
Traditionally departments have built information systems independently to fulfil their own needs; this resulted in siloed data across the organisation, data quality issues, and inconsistency in insights.
Technology is promising to resolve all these issues, but evaluating and buying analytics technologies has become very difficult. With tech advancing: how do you know which tools will provide you with the insights you need? I know it sounds very simple, but there are many organisations that lead data projects with a “technology first” principle – before understanding what the business really wants to achieve. This makes the situation even more complicated.
Ask yourself these questions:
- What are you trying to achieve from a business perspective?
- What are your goals and measures?
- What are the decisions you need to make?
- What are your key business questions that you’re keen to know the answers to?
Creating a data strategy will support these questions and more.
An achievable and well-defined data strategy will help you decide how you will use your data to improve decision making, streamline business operations or monetise it. Data strategy includes the critical business questions you need answered, how you will collect, store and manage data, the analytics tools and supporting infrastructure you require, and the skills you need in your organisation. Your strategy is the “why” and “what”, and the roadmap is the “how” you are going to execute. Lastly, your strategy isn’t the status quo, it will evolve with your on-going business needs and technology advancements.
Tomorrow we learn about how data integration becomes more efficient with a streamlined approach.