When a new hire joins a business, they are eager to make an impact and prove their worth. Data-centric businesses that utilize enterprise-level analytics and business intelligence to drive operations, innovation and revenue give employees confidence in their ability to succeed, because they know they’ll have ready access to the information they need to make faster, better business decisions. This type of corporate culture offers both new and existing employees the ability to access and prepare high quality data in order to drive insights that give organizations a competitive edge.
Today’s data-driven organizations put data at the center of the enterprise and prioritize it as a vital organizational asset. They use data analytics to track business trends, improve operations, gauge the competition and develop customer insights. However, building a data-centric organization depends on equipping users with critical data governance capabilities such as the knowledge and tools to understand data, policies and processes to prepare reports, analyze critical data and leverage those results to make better business decisions.
It is imperative that organizations have the right technologies to facilitate effective data prep and analytics and enable users’ self-service access to the data they need. Top companies rely on their data to make educated and strategic business decisions, but it’s often difficult for business users to accurately analyze information if data is housed in different, disparate silos. A siloed approach is a barrier to meaningful insights, as locating, accessing and aggregating information can be a time-consuming and complex process.
When business users do not have self-service access to the data they need to answer complex analytics questions, they must depend on IT. But IT resources are often overburdened with competing responsibilities and shifting priorities, relegating business user requests to the back burner. Without timely analysis, business leaders lose opportunities and critical business intelligence needed for operational decision-making.
To overcome the challenges of siloed data and slow analysis, companies require agile, business user-oriented technologies that empower business users, expedite data prep and enable speed to insights.
Today, technologies exist that are specifically built to facilitate data preparation and analysis by business users, without the added time and expense involved when they must rely on technical staff to provide it for them. They are constructed from the ground up and allow users to rapidly analyze structured, semi-structured and unstructured data for better analytics and business intelligence. Characteristics often include:
Modern data-centric tools deliver the speed, reliability, flexibility and control required to empower business users to identify patterns, anticipate future events, allow true predictive analysis, and ultimately, thrive as a data-driven employee.
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