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5 Outcomes of Making Data-Driven Decisions

5 Outcomes of Making Data-Driven Decisions

Organizations can and should make better, more informed decisions grounded in objective information and aligned with their business objectives.

To help remove barriers to making data-driven decisions, below are five key outcomes of accessing your data in new and different ways.

  1. Objectivity: Data provides an objective basis for decision-making, helping to remove bias and subjectivity that can come from personal opinions or intuition. This can lead to more informed and accurate decisions.
  2. Transparency: Data can make decision-making processes more transparent by providing a clear and easily understandable view of the underlying information. This can help build trust and confidence in the decision-making process.
  3. Collaboration: Data can facilitate collaboration and communication among different teams and stakeholders by providing a common language and shared understanding of the underlying information. This can help break down silos and improve decision-making across the organization.
  4. Agility: Data can provide real-time insights that allow organizations to respond quickly to market or environmental changes. This can help improve agility and make organizations more responsive to customer needs.
  5. Efficiency: Data can help organizations identify areas where they can streamline operations and reduce costs by identifying inefficiencies and areas for improvement.

DAaaS can be a cost-effective solution for companies that need more resources to build and maintain their own data analytics infrastructure. It allows businesses to focus on their core competencies while leaving data analytics to the experts.

Contact Datatelligent to learn more about how Data Analytics as a Service can help you make informed decisions.

Blog Data Analytics as a Service Other Solution Engines Solution Previews

What is Data Analytics as a Service & How is it Different?

What is Data Analytics as a Service & How is it Different?

Datatelligent enables the use of data to make our communities better.

Our subscription-based approach to data analytics, Data Analytics as a Service (DAaaS), is different and can be a game-changer for organizations since it can help remove barriers for your organizations to make better, more informed decisions.

In a nutshell, DAaaS is a service that provides businesses with specialized tools and expertise to help process and analyze data. Instead of investing in costly infrastructure and hiring dedicated data analysts, companies can partner with Datatelligent for their analytic needs. This can include everything from data management and predictive modeling and visualization.

For our clients, Datatelligent provides the following three DAaaS subscriptions:

  • Solutions Subscription: Analytic Solutions for your entire organization & data solutions to bring together all your sources, including:
    • Analytic Solution Engines
    • Data Solution Engines
    • Unified data platform
    • Data maturity roadmap
  • Data Operations Subscription: Data analytics operations managed all in one place, including:
    • Data capacity services
    • Project flex-up services
  • Data Literacy Subscription: Education and enablement as well as solution adoption to ensure successful knowledge transfer

Our Solutions, Data Operations, and Data Literacy subscriptions are powered by Tableau, Snowflake, Power BI, Cloud Infrastructure, Stitch, FiveTran, and many others.

Contact Datatelligent to learn more about Data Analytics as a Service.

Blog Data Analytics as a Service Higher Education Tableau

Save Clients Time and Budget with Tableau Prep

From a technical standpoint, data analytics work can be challenging and time consuming. Whether it’s combining different data sources, blending disparate systems, or filling in missing gaps, it can be a migraine-inducing task.

But what if we have been overlooking a tool that can make our job easier and deliver a more stream-line experience for our engineers? At Datatelligent, we have become adept at utilizing Tableau Prep, a Tableau module that can seamlessly clean and combine data from different sources in a highly visual interface. It eliminates the need to write code to connect to data sources and cleanse data. It’s included in the standard Tableau subscription, so it is a budget-friendly option as well.

We have successfully utilized Tableau Prep with numerous Datatelligent clients from the higher education, retail, and the business-to-business sectors. Our knowledge and experience has helped us access our customer’s data in a direct, visual way to ensure a deeper understanding and gives us the ability to act quickly and with confidence. We can deliver our projects quicker and without the usual data management headaches – all with no need to write code, saving countless man hours and improving performance.

Not only is our use of Tableau Prep a huge time and budget saver, but also it allows us to see immediate results. We see the results instantly with each action. This gives us the flexibility to immediately fix errors or try new processes without the need to write new code.

If you’d like to see how Datatelligent supports clients with its Data Analytics as a Service (DAaaS) approach and specifically how we have successfully leveraged Tableau Prep to help clients big and small, visit

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