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Author: Colleen Doyle

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From Data Awareness to Data-Driven Excellence: Datatelligent’s Data Maturity Model for Organizational Success

From Data Awareness to Data-Driven Excellence: Datatelligent’s Data Maturity Model for Organizational Success

In today’s data-driven world, organizations need to harness the power of data to gain insights, make informed decisions, and stay competitive. However, not all organizations are at the same level of data maturity. Some may struggle with basic data management, while others may have advanced analytics capabilities but lack a data-driven culture.

This is where Datatelligent comes in. We assist organizations in assessing their data maturity and developing a roadmap for improvement. We have developed a data maturity model with four stages, each with specific characteristics and pain points.

Let’s take a closer look at each data maturity stage and how Datatelligent can help organizations overcome challenges and move towards becoming data-driven.

  1. Data Aware: In the Data Aware stage, organizations have basic data awareness but lack a systematic approach to data management. Data is often ad hoc, siloed, and not used for decision-making purposes.

    Datatelligent can help organizations in this stage by providing data management and organization solutions to create a solid foundation for data-driven decision-making. This may include implementing data governance practices, data quality assessment, and data integration strategies to ensure that data is organized, standardized, and easily accessible for analysis.

  2. Data Proficient: In the Data Proficient stage, organizations have standardized reporting on a reporting platform, but data is primarily used for awareness purposes and not consistently utilized for decision-making.

    Datatelligent can assist organizations in this stage by providing advanced analytics and reporting solutions, empowering them to leverage data for informed decision-making. This may involve implementing advanced analytics techniques such as data visualization, data exploration, and predictive analytics to uncover insights and drive data-informed decision-making.

  3. Data Savvy: In the Data Savvy stage, organizations have started using data to make some business decisions, but data usage is inconsistent and often restricted to certain departments or silos.

    Datatelligent can help organizations in this stage by implementing data governance frameworks, data democratization strategies, and providing training and support to ensure data is used effectively across the organization. This may include developing data governance policies, establishing data sharing protocols, and providing training programs to build data literacy and skills across the organization.

  4. Data Driven: In the Data Driven stage, organizations have embraced data-first thinking, where data is embedded into all business and decision-making processes. All systems and people work together to make the most effective and efficient use of data.

    Datatelligent can partner with organizations in this stage by providing advanced analytics solutions, developing predictive models, and enabling data-driven culture and practices throughout the organization. This may involve fostering a culture of data-driven decision-making through change management and leadership support.

We understand that every organization’s data maturity journey is unique, and our team of experienced data analysts and consultants is dedicated to helping organizations overcome barriers and unlock the full potential of their data. We provide tailored solutions that align with the specific needs and goals of organizations, guiding them towards becoming data-driven organizations.

Contact Datatelligent today to learn more about how we can assist your organization on its data maturity journey.

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Blog Data Maturity Other

Unlocking the Power of Data: How to Become a Data-Driven, Data Mature Organization

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Unlocking the Power of Data: How to Become a Data-Driven, Data Mature Organization

Data is the lifeblood of successful organizations, and becoming data-driven is essential for thriving in today’s business landscape! Embracing data as a strategic asset can unlock unprecedented opportunities for growth and innovation. Here are some key steps to becoming a data-driven organization.

Step 1: Define Clear Data Goals
The first step in becoming a data-driven organization is to define clear data goals. What do you want to achieve with data? Identify the key objectives, such as improving decision-making, enhancing customer experience, optimizing operations, or driving revenue growth. By setting specific and measurable data goals, you can align your data initiatives with your organization’s overall strategy and vision.

Step 2: Establish Data Governance
Data governance is the foundation of any successful data-driven organization. It involves creating robust policies and procedures to ensure data quality, integrity, and security. Define roles and responsibilities for data management, access, and usage. Establish data standards and guidelines to ensure consistency and accuracy in data collection, storage, and analysis. Implement data governance practices that align with your organization’s needs, industry regulations, and best practices.

Step 3: Invest in Data Infrastructure
Having the right data infrastructure is crucial for becoming a data-driven organization. Invest in modern data management tools and technologies that enable efficient data collection, storage, analysis, and visualization. Choose solutions that align with your organization’s data goals, scalability requirements, and budget. Consider cloud-based solutions for flexibility, scalability, and cost-effectiveness. Ensure that your data infrastructure is scalable, secure, and capable of handling large volumes of data to support your organization’s data-driven initiatives.

Step 4: Foster a Data-Driven Culture
Building a data-driven culture is critical for becoming a data-driven organization. It involves creating a mindset where data is valued and data-driven decision-making is ingrained in the organization’s DNA. Provide training and resources to help employees become data-literate and capable of using data for decision-making. Encourage a collaborative approach where employees are encouraged to share data insights, learn from data, and use data to drive innovation and continuous improvement.

Step 5: Enable Data-Driven Decision-Making
Data-driven decision-making is at the heart of a data-driven organization. Use data to drive insights, inform decision-making, and measure performance. Encourage data-driven experimentation, where data insights rather than gut instincts back decisions. Implement data-driven processes and workflows to ensure that data is used consistently across the organization. Foster a culture of curiosity and learning, where employees are encouraged to explore data, ask questions, and make data-driven decisions at all levels of the organization.

Step 6: Learn from Data
Becoming a data-driven organization requires continuous learning and improvement. Leverage data insights to iterate and optimize strategies, processes, and outcomes. Use data to identify patterns, trends, and opportunities for improvement. Implement a feedback loop where data insights are used to refine strategies and drive continuous improvement. Encourage a culture of data-driven innovation, where data is used to identify new business opportunities, optimize operations, and drive growth.

Becoming a data-driven organization is a journey that requires effort, commitment, and a strong leadership vision. By following the key steps outlined in this blog post, organizations can unlock the power of data and leverage it to drive growth, innovation, and success. Here at Datatelligent, we work with customers to help them embrace data as a strategic asset, establish robust data governance, invest in modern data infrastructure, foster a data-driven culture, enable data-driven decision-making, and embrace continuous learning from data. By taking the first step to becoming data mature, your organization can thrive in today’s data-driven world and achieve industry gain.

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Blog Other Solution Engines Solution Previews

4 Key Differences of Datatelligent’s Subscription-based Approach to Data Analytics

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4 Key Differences of Datatelligent's Subscription-based Approach to Data Analytics

Are you looking for a new and different approach to data analytics?

Datatelligent provides a more flexible and cost-effective way for organizations to access the data and insights needed to make better business decisions. Our subscription-based approach to data analytics is different from traditional, one-time purchase software licensing models.

Below are four key differences of our data analytics subscription.

  1. Scalability: Our subscription-based DAaaS services are designed to be easily scalable, allowing organizations to adjust the size and scope of their analytics needs as their business needs change. This can help ensure that organizations have access to the right data and tools at the right time without incurring additional costs for unnecessary capacity.
  2. Updates and Maintenance: Our subscription-based service include regular updates and maintenance, ensuring that the data analytics tools and technologies remain up-to-date and functional. This can help organizations avoid the cost and hassle of maintaining their on-premise infrastructure and ensure they always have access to the latest analytics capabilities.
  3. Access to Expertise: By partnering with Datatelligent, organizations gain access to a team of data analytic experts, and our Data Literacy subscription helps organizations improve their data literacy.
  4. Cost Structure: A subscription-based approach typically involves paying a recurring fee over a set period of time (e.g., monthly, quarterly, or annually) rather than a considerable upfront cost. This can make data analytics more accessible to organizations with limited budgets and allows for better cost management and planning.

Datatelligent’s Subscriptions

For our clients, Datatelligent provides three DAaaS subscriptions (Solutions, Data Operations, and Data Literacy).

  • 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 how our unique Data Analytics as a Service subscription service can help you make informed decisions.

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Blog Data Analytics as a Service Other

5 Outcomes of Making Data-Driven Decisions

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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.

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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.

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Blog Higher Education Student 360 Student Retention

The Intersection of DEI, Data & Student Enrollment

The Intersection of DEI, Data & Student Enrollment

All data are not created equal. To be actionable, and to have a chance of influencing behavior, information needs to be legible to the intended audience. 

Many higher institutions have all the right diversity, equity and inclusion (DEI) data points at their fingertips, but what they lack is the clarity behind what the data means and the decisions they need to make based on the data. Student information sitting passively in a myriad of databases is a far cry from actionable DEI insights.

Equity can’t be explained away by rhetoric—it’s about the numbers. Whether or not you believe equity is framed and defined by ownership or diversity, it is definitely quantifiable. Therefore, it’s essential to present diversity data in an easy-to-understand, customizable scorecard or dashboard that is relevant to its intended users. The data presentation should allow for easy comparisons between units and across time periods.

Enter Datatelligent. We understand that finding and enrolling the right students is more challenging than ever, which makes each stage of the enrollment journey even more critical. 

DEI DATA SESSIONS

Datatelligent is participating in several upcoming sessions about the intersection of DEI and data, including:

The sessions will review strategies for evaluating the effectiveness of your DEI data across student recruitment and enrollment initiatives. They will also feature a demo of Datatelligent’s DEI Student Outreach Solution Engine that gives higher education leaders a 360⁰ view of the student data, including:

  • Insights into DEI-related recruitment opportunities for high school students
  • Interactive map of counties highlighted by special population indicators and current college attendees
  • Key demographic data (poverty levels, single female households, disability, unemployment rates, etc.)
  • High schools per county displayed with student body demographic details

In order to advance DEI, you must drive progress through your data. Insight into your student data—from its racial and cultural makeup to geographical recruitment reach—is key to understanding your students’ experiences and the change that needs to happen. 

Contact Datatelligent today to start fully tapping your DEI data.

Datatelligent is a data analytics firm that enables the use of data to make our communities better. Our unique approach, Data Analytics as a Service (DAaaS), helps remove barriers for organizations to make data-driven decisions.

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