Discussions about Big Data have arisen in every industry dealing with data sets – from retail to banking. But what’s the big deal? Well, Big Data has made its name as the central nervous system of how companies work, with the ability to affect how whole companies function.
With Big Data under the microscope, companies are digging deeper to explore the potential of a more nuanced and agile approach to data analytics. Now that businesses are looking for the next big thing after Big Data, will the new buzzword be “accessible data” instead? Following the rise in digital transformation in the last year, businesses are trying to sort out how to best use the huge amounts of data they are saddled with. However, understanding how they can use it isn’t always easy and can be intimidating, especially amongst market uncertainty.
Despite the majority (72%) of business decision-makers agreeing that the ability to collect, analyse and make meaningful decisions with data has become more important, the report by AND Digital found that the data journeys of many organisations are being restricted - whether the reason is organisational, technical or something else.
How do you tackle turning your “big” data into a market opportunity, no matter the industry you operate in or your size?
Untangling that data
首先，企业需要了解，在他们奠定基础之前，他们需要清除创新的空间。英国企业领导人中有将近四分之三（75％）表示，他们对与数据有关的挑战感到焦虑，现在是时候使他们的弱点成为最大的实力了。
Untangling that data is an essential place to start in order to prime it for use. Most of us have reached into our pockets to use our headphones, only to find a matted ball of wires. Just the thought of untying is a daunting task, ruining the full potential of the user experience and causing unnecessary stress. This is the same for companies that have gotten used to harbouring their data in a plethora of overloaded excel spreadsheets and documents sporadically placed around different locations.
Change your understanding of data
After you have faced your fears and untangled your data, the foundation of better business agility can be properly laid.
其中的一部分正在改变您对数据的想法，这不仅仅是IT部门中仍然存在的东西。企业需要扩大所有部门的数据使用，以帮助获得有关从金融到劳动力再到供应链的所有事物的有益见解。将原始数据转换为可行的信息对于公司的绩效至关重要。
By doing that, companies can better make use of internal and external data to plan effectively using predictive analytics such as machine learning. This can allow you to automatically create forecasts and plans that head off potential disruptions to your business - for example - building more supply chain resilience against climate change activity or even demand sensing so that you can prepare for sudden shifts in buying trends.
Employee experience
Creating a plan for data in your business isn’t just about how you collect it, it’s also about making it more accessible and usable - especially for those with no IT background.
随着在公司所有各个部分的使用数据的使用，所有人都必须以一种可以帮助他们做出决定改善结果并避免沮丧的决策的方式来理解和使用这些信息。
Since being adaptable and flexible is becoming easier with technology, making sure that digital transformation is sustainable is a must. Relying on historical data alone or a rigid planning process with no flexibility will kill agility.
企业知道，他们的数据方法需要更加敏捷，但要实现这一目标。- 遵循以下步骤可以帮助他们蓬勃发展，无论其规模或正在运营的行业如何。
