How is data analytics helping companies improve their decision-making process?

Data Analytics and Business Intelligence 

The age of consumer orientation means businesses are swamped with data around their behavior. To stay relevant within their industries, organizations should harness this information and use the insights to build more consumer friendly products, solutions and experiences. Introducing this strategy makes companies 85% more likely to see a growth in sales margins. Additionally, businesses are offered a more refined perspective of their target demographic and who is purchasing from them. This helps streamline marketing efforts.  

Businesses spend a large amount of time understanding consumer information and detect monetization opportunities. Data analytics can help reduce inefficiencies and streamline business operations by sifting through large information pools and downsizing them to only meaningful data. Additionally the information can be used to measure key performance metrics and understand how to best introduce operational excellence, product innovation and planning around the workforce.   

As a secondary benefit, companies maximizing data driven performance are more likely to attract and retain stronger professional talent. Analytics teams are able to use information provided about a contender to deduce how likely they are to perform well within the business. 

Across all industries, organizations face concerns around both forms of information sources; structured and unstructured. Using risk analysis as leverage enables businesses to better assess, understand and even predict situations that could pose threat to business activities. Managers are able to use risk analytics across all departments for an enterprise-wise approach. This makes it significantly easier to protect the organization from a granular level. Additionally, protocols can be put in place to ensure decision making and actions are not on the trajectory of poor results.