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Marching Toward A Better Future

Marching Toward a Better Future

My Introduction to March of Dimes

In 2022 the U.S. preterm birthrate increased to 10.5% (slightly over one in 10), making the U.S. one of the most dangerous developed nations for childbirth. I knew the risk was there during my pregnancy, but I never expected to be part of that 10.5%…until I was admitted to the hospital with sudden, severe preeclampsia at 32 weeks. We accepted that our May baby was going to have a March birthday.

Before this, I had only heard of March of Dimes, but they suddenly had a massive impact on the outcome of my baby’s life and myself. First, the medical team administered an IV of magnesium sulfate to protect her brain and prevent seizures caused by my dangerously high blood pressure. Next, the team administered corticosteroid shots to help her lungs develop rapidly, preparing her for an early entrance. Both interventions were developed and funded through March of Dimes.

At 33 weeks and two days, Eisley made her grand entrance at 3lbs 6oz. She was tiny but healthy – her cry let us know the steroid shots had done their job! The next 28 days were a fever dream of NICU visits. Here, we found that March of Dimes funded resources, initiatives, and research that would guide us through the unknown. During a NICU visit, I saw a flyer for the 2022 March for Babies and felt inspired – but our experience was still too fresh. I promised myself that we would be a part of the event next year.

Rallying the Community

Fast forward to May 2023 – Eisley is a happy, healthy one-year-old, and Eisley’s Team has just finished our first March for Babies 5k. We weren’t alone, as I am incredibly fortunate to have a community in Datatelligent. When I decided we were ready to participate, my leadership and coworkers stepped up with an astounding show of support, encouragement, and donations. This action reaffirmed what I already knew about Datatelligent – we truly live our company purposeto use data to make our communities better – as we tripled our original fundraising goal. Our CEO Larry and his family joined us on our walk. Eisley’s Team raised over $1,300 to help fund research and initiatives to create positive outcomes and equitable healthcare for mothers and babies!

What I Learned and What’s Next

Participating in our first March for Babies was a bittersweet experience. While it was inspiring and fun to come together and support those who will come after us, it was also disheartening to know there will be others. Until we end preventable maternal health risks, deaths, and preterm births, the need for advocacy and awareness remains. I hope that Eisley’s Team will grow even bigger in 2024 and that you’ll join us in supporting March of Dimes!

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

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

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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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.

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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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6 Takeaways from the 2022 AIR Forum Conference

6 Takeaways From The 2022 AIR Forum Conference

A team from Datatelligent ascended on Phoenix for the 2022 AIR Forum Conference, the first in-person event for us since 2019. Bringing together higher education professionals, specifically institution researchers, with data and analytics leaders, AIR Forum was well attended and full of energy. 

The conference also allowed us to reflect on the current and future state of data across the higher education space based on the sessions we attended and the meeting and discussions we had with leaders. With that, here are our top 6 takeaways from 2022 AIR Forum.  

1. It was Great to be Back in Person 

Conference attendees, myself included, were excited to see one other, to share ideas, and to catch up. AIR Forum provided opportunities for networking, brainstorming, and problem-solving.  

The coffee shop in the convention center was a regular hot-bed of connections and conversations, and it served as a good reminder that connecting face-to-face is an unparalleled experience.  Virtual conferences have proven to be extremely effective when it comes to delivering great content, but I think we can all agree that nothing replaces those spontaneous hallway discussions. It sure was  great to be back in person!  

2. Data Literacy & Maturity are Critical 

Data literacy is the ability to explore, understand, communicate and tell stories with data.  

The good news is that from the discussion we had at AIR Forum, higher education institutions truly understand that data is the ultimate differentiator and that data literacy is the key to unlocking the value of your data and technology investments.  

Understanding your institution’s data maturity in terms of your data and analytics vision, as well as your data sources and KPIs, is critical to advancing your maturity.  

We met with several leaders and discussed data maturity. Through this, we learned that there is a wide spectrum across organizations, ranging from data aware to data proficient and then further up the spectrum to data savvy and ultimately data driven. 

3. There’s a Severe Data Staffing Challenge… and Options 

We can all agree that it’s difficult trying to find the right talent for the job, regardless of the job. But when you add in the need for specialized data skills, the challenge becomes even more cumbersome. On top of that, as we potentially head into a global recession, the outlook becomes grim. 

It’s not surprising that we heard from several higher education leaders who said they were actively looking to get creative and “future-proof” their workforce in the face of: 

  • Not being able to hire due to a shortage of data workers  
  • Declining retention due to employee turnover  
  • Economic uncertainty in the face of a possible recession 
  • Inability to keep good talent due to the high demand for highly skilled data workers

One way to circumvent the hiring challenge was to actually not hire directly. Instead of hiring, leading higher education institutions that are looking to reduce risk while also increasing efficiency are turning to Datatelligent’s Data Analytics as Service (DAaaS) model, an alternative option to staffing and building your data team. 

For the cost of just one senior data architect, with our DAaaS model, you can get a whole team to support your data needs—from solutions, strategy, to detailed expertise. We bring use of our leading-edge solutions to help grow your business—all under one unique subscription as a service solution. 

4. Virtualization was Everywhere 

For institutions looking for a new way to combine data from different sources that make it easier to access, understand and share across your organization, conference attendees didn’t have to look far. Virtualization was everywhere. 

There were several sessions about virtualization and how to easily connect to data stored anywhere, in any format. Our technology partner, Tableau, was on hand at AIR Forum sharing how they can help institutions quickly perform ad hoc analyses that reveal hidden opportunities using drag and drop functionality to create interactive dashboards with advanced visual analytics. If you have questions about virtualization, let me know. I can help.  

5. The Future for Data Inclusion & Equity is Now 

For data solutions to be relevant and sustainable, they must be designed in collaboration with the communities they are intended to represent and support.  

We are seeing organizations be intentional about their data. From what we saw at AIR Forum and the meetings that we continue to have, I think that higher education institutions are on the precipice of ensuring data is more inclusive, representative, and effective. In fact, viewing data as a strategic asset and committing to an organizational culture of data inclusion can lead to discussions about policies and how higher education institutions can and should invest in their communities into the future.   

6. Student Recruitment, Retention & Success was a Hot Topic 

Did you attend our session at AIR Forum? Titled “How Tableau Can You Go? Increasing Data Access for Decision-Making,” our own Larry Blackburn, Chief Solutions Officer, was joined by Deborah Phelps, Executive Director of Institutional Effectiveness at Cowley College during a session at AIR Forum. They shared how Cowley College has dramatically improved student recruitment and retention by successfully evaluating and reimagining their data analytics infrastructure to become a more data-driven organization. They also reviewed Cowley’s implementation of Tableau, a data visualization application.  

If you missed our session at AIR Forum and would like a copy of the presentation slides, just email me. I’d also be happy to review the presentation with you detailing what we did to improve student success at Cowley College. 

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Interns Get Big Experience with Big Data

We have all been there—immersed in the theoretical while in college but finding it difficult to envision how to transfer those skills to an actual on-the-job setting. You may also feel nervous about whether you will enjoy or be overwhelmed once you do land a new job. This is where internships can help. Students can get a taste for their chosen profession and gain a better understanding for the day-to-day activities of a particular industry. They can also make valuable contributions to the employer and the industry at large.

For us at Datatelligent, our internship program has been tremendously successful. Not only have we had the opportunity to work with highly motivated and talented students, but we have been able to introduce them to the field of data analytics and cultivate tomorrow’s professionals.  

Our interns have been critical to our success. Since the start of our company, we have always relied on interns to support both our marketing and sales activities and solution development. We have found that they are quick learners and hard workers who always deliver quality outcomes. The rapid growth of Datatelligent is directly related to the value our interns have provided to us – we would not be where we are without them.

But why hear it just from me. Here is what our current and former interns have to say about their experiences working with Datatelligent in data analytics:

“I am hoping to continue working with Datatelligent throughout my senior year in college. I want to continue this Data Analytics journey and see where it can take me. I have enjoyed every minute of it, and I am looking forward to the future.  I would have never imagined being able to turn data alive by creating interactive dashboards to help you better visualize your data. Now I find myself questioning everything I see, ‘Could I build a dashboard for that?’”  
Uriel Nunez, Dominican University – Degree program: Computer Science  

“I found out about Datatelligent through a professor and had been searching for some time. Next thing you know I am now working at Datatelligent as a Solutions Engineer working with some of the best people you can look for in an internship.”
Mathew Molloy, Dominican University – Degree program: Computer Science

“While working and being a student during a pandemic, I appreciated that I was able to integrate what I was learning into my work and use my internship as an extension of my virtual classroom. My internship was (and continues to be) flexible with my schedule. Data analytics is much more visual and interactive than I previously thought. Our team creates dashboards that have so many colors and ways to explore the data that’s displayed. It makes it much easier to understand and to make decisions based on that data.”
Alyssa Pincuspy, Northern Illinois University – Degree program: Double major in Marketing & Communications and a certificate in Professional Selling

“I plan on helping achieve the goals and tasks of the company. It’s a small team, but I really enjoy working with everyone, and I hope that my work creates an impact. One thing I’ve learned is to hone my communication skills. I’m not shy but learning to communicate constantly with my team and it’s something that I’m improving on.” 
Alexis Aquino, Dominican University – Degree program: Computer Science

To learn more about Datatelligent and our work in the data analytics space, or to reach out about future internship opportunities, visit

Steve Wightkin, Chief Operating Officer, Datatelligent

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What Does It Mean to Be Data-Driven?

Using data to drive decisions, being data-savvy, harnessing the power of your data…all of these buzz words get bandied about during meetings, at conferences, in the trades, and online, but what does it really mean? How do you even know if you are a data-driven organization?

At Datatelligent, and throughout my extensive career in data analytics, I see becoming a data-driven organization as an iterative process. Think of it as a continuum. While it might seem overwhelming to assess and implement the organizational changes required to be in the data-driven zone, it’s more realistic and manageable to break the evolution into steps.

Step 1: Data Aware

You first need to recognize that your organization has disconnected information — nearly every entity does. For those companies just beginning their journey, these pieces of data may be tracked using manual, non-standard reports. And decisions rarely are made using the available data.

Step 2: Data Proficient

Your organization is tracking and collecting data using standardized reporting tools or reporting platforms, but the information may not be shared collectively. The data may not be well utilized for decision-making or planning.

Step 3: Data Savvy

You’re getting there. Your company tracks and uses data to make some business decisions, but the information may be trapped in silos between groups/departments, and the methodology to collect and report data may be inconsistent.

Step 4: Data-Driven

You’ve arrived at the pinnacle! Your organization uses data-first thinking from the start. All people and processes are in sync for data collection, tracking, and utilization. And data analysis is embedded into your decision-making practices.

So How Do You Get There?

It’s essential to look at the big, broad picture for your organization first — try to establish a high-level plan that is connected to your institution’s mission. This will help ensure that the data you mine is connected to achieving the results that matter to your stakeholders. What data will help you reach your business goals? Do an honest assessment of where your organization is in its analytics maturity (as per the steps above). Do you need to make any changes/adjustments to get started?

Next, invest what you can and adopt an iterative approach. This is more cost-effective than tackling an enterprise-wide solution, and it allows you to focus on projects that bring immediate value and smaller wins. Snowball this and add on as you build confidence and support throughout the organization.

Lastly, it’s essential to establish a unified approach. Develop a unified data platform to be rolled out across all parts of the organization. Bring together stakeholders to set the tone of collaboration and resist the temptation to silo information. And empower staff to access the data and tools in order to make decision-making a data-driven exercise. Invest in consistency, connection, and training.

To learn more about how Datatelligent has helped companies large and small, as well as colleges and universities, become data-driven, visit

By Larry Blackburn, Chief Solutions Officer, Datatelligent

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