Best Practices for Transforming Data into Business Value

November 5, 2021 | 4 minute read
Shanelle Thadani
Product Marketing Manager, Analytics
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Organizations everywhere are looking to use analytics to drive business outcomes.  Companies are seeking ways to run operations more efficiently, build better products, and establish strong competitive advantages. The right use of analytics remains a top priority for sustaining and growing businesses. Leaders in every industry depend on data to turn complex relationships into engaging, meaningful, and easy to understand communication across an organization.

Therefore, it is also vital to understand that data on its own isn’t enough to generate actionable insights from which an organization will benefit. 

Leadership must understand how to access and process relevant data, evaluate predictions, and make quick, accurate decisions.  Analytics should represent the heart of every organization and data warehouses should remain at the center of these data analytics initiatives. 

How to get more value from your data

Data warehouse projects for any organization can be complex undertakings and can take months or even years to deliver results.  Relying on a cloud provider can accelerate the process of provisioning a data warehouse, but in most cases database administrators (DBAs) still must install and manage the database platform. It often includes working with other business groups to build data models and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face a cycle of tuning, securing, scaling, and maintaining these analytic assets.  As IT moves further along in their digital transformation, seeking resources to help solve these issues and leverage their data, businesses are looking to the cloud. 

Why move your data warehouse to the cloud?

• Rapid turn-up of departmental data marts to independently load, transform data, build business models, and discover insights powered by machine learning

• Easy migration of on-premises databases

• Automated management to reduce time spent on manual labor

• Elastic compute and storage resources to scale effortlessly

• Ready to use services for a faster time to value

 

Having an easy way to store and manage data, and access analytics quickly is essential to manage and extract valuable actions and next steps for the organization. Making the transition to the cloud allows organizations to be more agile and stay ahead of the competition by embedding machine learning and artificial intelligence into their cloud to adjust with the growth and speed needed to keep business moving forward.

Analytics

Once a data warehouse is deployed, insights from analytics projects can help all departments discover patterns in data and help provide information for employees.  Data alone though is not the competitive differentiator, but it is more about how analytics is used together to gain value from data to make better decisions and business strategies.  Here are some questions to consider when deciding on an analytics solution.

What can I learn from leading companies to profit most from a new analytics solution?

To get the best possible benefit from a new analytics solution, evaluate data visualization tools in a competitive setting based on unique requirements. Engage the vendors in a competitive proof of concept (PoC) to rate their ability to deliver on specific needs.

  • Which criteria are the most important when selecting analytics software?

Far too often, cost will play too big a role in the selection process, although numerous other criteria have a much greater influence on the success and results of an investment such as ROI, rather than costs and capabilities alone.

  • What benefits can I expect from implementing a new analytics solution?

Increasing the speed and accuracy of reporting, analysis and planning are the core benefits of an analytics solution. On a regular make quick and accurate decisions that improve the business. Oracle Cloud helps to automate tasks to get more done with less effort.

  • Which analytics should I be familiar with to get the most out of data?

Be aware of prevailing trends in the analytics market and evaluate how machine learning (ML) and artificial intelligence (AI) to attain valuable data in less time. Solutions that provide a self-service options such as Oracle Cloud, enables business users to use technologies without specialized skills.

Leverage all data with Oracle Cloud and Oracle Analytics

Oracle Cloud offers a complete suite of integrated applications for all departments, plus a highly automated and secure next-generation cloud infrastructure combining autonomous services.  Oracle Autonomous Data Warehouse represents a game-changing category of data-management cloud–offering an easy way to store and manage data, and access analytics quickly.  Oracle Autonomous Database is self-driving, self-securing, self-repairing, and designed to eliminate the manual, error-prone management process.  Deploy a data warehouse in the cloud in minutes. 

Oracle Analytics Cloud empowers business users, data engineers, and data scientists to make quick and accurate decisions.  Analytics combines data from across an organization with third-party data and automates important and time-consuming tasks such as data preparation, visualization, predictions, and reporting.  Oracle Analytics is a complete analytics solution that empowers leaders, analysts, and IT to access data from wherever they are, for a faster time to value with intelligence and automation.

  1. Visit oracle.com/analytics for more information
  2. Discover how the right cloud solution can work for your entire business. Find out more on how you can take control of your data and analytics by watching the latest video on Data Transformation: Unlocking the Power of your Information

Shanelle Thadani

Product Marketing Manager, Analytics


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