Most organizations use traditional approaches when it comes to surveys and data analytics, according to a recent study. If organizations want to find success in using their data to achieve their goals, they need to implement a transformational approach to data and analytics.
More than half of employees are of the same opinion in thinking their organization should be doing better with analyzing useful data in order to reap the great potential benefits. These benefits can include such things as being able to use advanced predictive and prescriptive forms of analytics, and having better relationships with suppliers and partners. The benefits ultimately lead to an increased competitive advantage, that could be the push the organization needs to pull ahead in the industry.
Analytics has been guiding companies in determining the most efficient process to use, providing a better customer experience, and guiding product development to more customer minded outcomes.
Its easy for organizations to meet roadblocks when trying to increase analytic and data use, beware of these 5 things and your organization will have a much better ability to implement data strategies and reap the benefits.
1. The Wrong Culture
An organizations culture influences the mindset of employees and sets expectations for what is appropriate. Employees can have difficulty thriving if they don’t feel they are following the flow of the culture. Unfortunately, culture is harder to change the longer the organization has existed, and for many organizations if culture is not intentionally created by the founders, it can form into destructive attitudes and mindsets that employees feel they have to follow in order to fit in.
To have a culture ideal for advanced data and analytics acceptance, employees need to feel that they have support in the data gathering process, which often takes more than one shot in order to get the data that gives the right insights. If employees have to worry about penalties when the first shot doesn’t produce desired results, then they won’t be willing to take a shot at all. Using data in a transformational way requires spotting small insights, and a lot of them, then piecing them together to create a complete picture over time.
2. Data Must Be Current and Accurate
Data changes as rapid rates, even data that seems to change slowly over time can cause large misleading results if it is assumed to be still relevant despite it not being current. Transformational data is real-time or as close to real time as possible. Insights into trends appear over time and can lead to big outcomes. We understand this here at Zip Code Download, and that’s why we offer monthly updates of our data, so your organization will never be held back by inaccurate information when it comes to Zip Code Data.
3. Help the un-analytical minds
Not all employees are going to have a background in analytics and understand its importance, or even understand it at all. This doesn’t mean they are not valuable employees; they may have a great business mindset that helps them create strategic campaigns. Help those who don’t understand analytics to see the value and find meaning amongst all the numbers. When business and analytics come together, businesses are able to jump ahead of the competition and dive into trends that will put them on top. Products that fulfill needs are made when the right information and talent comes together.