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Database Management System vs. Data Warehouse: Understanding the Core Differences for Better Data Management 

Data Management Image

In today’s data-driven world, understanding how to store, manage, and analyze information is crucial for success. Two fundamental technologies often discussed are Database Management Systems (DBMS) or platforms, and Data Warehouses (DW). While both handle data, they serve distinct purposes and are optimized for different tasks. Confusing them can lead to inefficient processes and missed opportunities. At Datatelligent, we help organizations navigate these complexities. Let’s break down the key distinctions. 

What is a Database Management System (DBMS) / Platform? 

Think of a Database Management System as the engine that powers day-to-day operations. It’s software designed to create, read, update, and delete data in operational databases efficiently. 

Purpose: Running the Business (OLTP) 

A DBMS primarily supports Online Transaction Processing (OLTP). These are the frequent, short transactions essential for everyday business functions: 

  • Processing a customer order 
  • Updating inventory levels 
  • Registering a student for a course 
  • Recording a bank transaction 

The focus is on speed, accuracy, and consistency for current operations. 

Key Characteristics 

  • Real-time Data: Reflects the current state of the business. 
  • Normalized Structure: Data is typically organized to minimize redundancy and improve data integrity, often spread across many related tables. 
  • Optimized for Writes: Designed for frequent insertions, updates, and deletions. 
  • Focused Scope: Often supports a specific application or business process. 

What is a Data Warehouse (DW)? 

A Data Warehouse, on the other hand, is designed specifically for analysis and reporting. It consolidates data from various operational systems (often managed by DBMS) into a central repository optimized for querying and business intelligence. 

Purpose: Analyzing the Business (OLAP) 

Data Warehouses support Online Analytical Processing (OLAP). The goal is to analyze historical data to identify trends, patterns, and insights: 

  • Analyzing sales performance over the last five years 
  • Tracking marketing campaign effectiveness 
  • Understanding long-term student retention rates 
  • Generating quarterly financial reports 

The focus is on query performance and providing a comprehensive view for decision-making. 

Key Characteristics 

  • Historical Data: Stores large volumes of data accumulated over time. 
  • Optimized Structure for Reads: Often uses denormalized or specialized structures (like star or snowflake schemas) to speed up complex analytical queries. 
  • Optimized for Reads: Designed for efficiently querying large datasets. Updates are typically done in batches (e.g., nightly loads). 
  • Integrated Scope: Pulls data from multiple sources across the enterprise. 

The Key Difference Between Data Warehouse and Database Management System 

Feature Database Management System (DBMS) Data Warehouse (DW) 
Primary Goal Run daily operations (OLTP) Analyze business performance (OLAP) 
Data Focus Current, real-time data Historical, aggregated data 
Data Structure Normalized (reduces redundancy) Often Denormalized (optimizes queries) 
Processing Fast transactions (read, write, update) Complex analytical queries (read-heavy) 
Update Freq. Constant, real-time updates Periodic batch loads 
Scope Application-specific or departmental Enterprise-wide, integrated view 
Users Front-line workers, applications, DBAs Business analysts, data scientists, execs 

Data Management in Data Warehouse Environments 

Effective data management in data warehouse scenarios is crucial. It involves more than just storage; it’s about ensuring data quality, consistency, and accessibility for analysis. This typically involves robust ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to pull data from source systems (often managed by DBMS), clean and reshape it, and load it into the management data warehouse structure. Governance, metadata management, and security are also key components of managing a DW effectively. The goal is to create a reliable “single source of truth” for analytical purposes. 

The Silo Effect: When Traditional Data Systems Create Barriers 

A significant challenge many organizations face, even those with data warehouses, is the persistence of data silos. This often happens when: 

  1. Departmental Solutions: Different departments implement their own databases or even separate data marts (smaller, focused data warehouses) without central coordination. 
  1. Software Limitations: Specific applications (like CRM, ERP, LMS) act as isolated database management platforms, storing valuable data that isn’t easily integrated elsewhere. 
  1. Legacy Systems: Older systems may be difficult to connect to modern warehousing solutions. 
  1. Lack of Strategy: Without a unified data strategy, data naturally fragments across various systems. 

These silos prevent a holistic view of the organization. Marketing data might be separate from sales data, which is separate from operational data, making comprehensive analysis difficult or impossible. As we discussed in our recent article, combining these fragmented sources into a unified platform, like a data lake, is often the next step to unlock the full potential of an organization’s data. 

Higher Education: A Case Study in Data Silos 

We see this challenge frequently in the Higher Education sector. Institutions rely on multiple specialized platforms, each acting as its own data management system: 

  • Learning Management Systems (LMS): Platforms like Canvas or Moodle store rich data about course engagement, assignment submissions, and student interactions within courses. 
  • Student Information Systems (SIS): Systems like Banner or PeopleSoft manage student records, registration, grades, financials, and demographic information. 
  • Admissions/CRM Systems: Tools used for recruitment and managing prospective student data. 
  • Financial Systems: Platforms managing budgets, grants, and institutional finances. 

Each platform is essential, but they often operate in isolation. Getting a simple report, like correlating student engagement in Canvas with their final grades and demographics stored in Banner, can become a major technical hurdle. This difference between data warehouse and database management system approaches becomes stark – the operational systems (LMS, SIS) hold the data, but analyzing it together requires a dedicated analytical layer, like a well-designed data warehouse or data lake, to break down the silos. 

Datatelligent: Your Partner in Unified Data 

Understanding the difference between data warehouse and database management system tools is the first step. The next is implementing the right strategy for your organization’s unique needs. 

Whether you’re struggling with data silos created by multiple database platforms, looking to build your first management data warehouse, optimize an existing one, or explore modern solutions like data lakes, Datatelligent can help. We meet you where you are in your data journey, providing the expertise and solutions needed to integrate your data, eliminate silos, and empower data-driven decision-making. 

Contact Datatelligent today to learn how we can help you unlock the true value of your data. 

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Blog

Unlock the Potential of Your Data with a Data Lake: A Deep Dive for Data-Driven Organizations 

data lake for higher education

Organizations across all industries are grappling with an ever-increasing volume and variety of information. To truly leverage this wealth of data for strategic insights and competitive advantage, a modern data architecture is essential. Enter the data lake: a powerful solution for housing and harnessing your organization’s most valuable asset – its data. 

Understanding the Power of a Data Lake 

Before diving into industry-specific applications, let’s understand the core concepts behind this transformative technology. 

What is a Data Lake? 

Imagine a vast, natural lake, capable of holding all types of water – rivers, streams, rainwater – in its raw, unfiltered form. A data lake operates similarly, serving as a centralized repository that allows you to store all your structured, semi-structured, and unstructured data at any scale. Unlike traditional databases or data warehouses, a data lake doesn’t require you to pre-define the structure of your data. It welcomes data in its native format, be it raw data from sensors, social media feeds, documents, images, or traditional databases. This flexibility allows for agile data exploration, advanced analytics, and the discovery of hidden patterns that might be missed with rigid, pre-defined structures. 

The beauty of a data lake lies in its ability to empower data scientists and business analysts to access, explore, and analyze data in its most granular form. By removing the constraints of traditional data management systems, organizations can foster a culture of data-driven innovation, uncovering valuable insights that fuel better decision-making, new product development, and enhanced operational efficiency. This approach shifts the paradigm from data storage to data utilization, turning raw information into actionable intelligence. 

In essence, a data lake provides a scalable and cost-effective platform for organizations to: 

  • Centralize data: Break down data silos and create a single source of truth. 
  • Embrace data variety: Store structured, semi-structured, and unstructured data in its native format. 
  • Enable data discovery: Facilitate exploration and analysis without rigid schema constraints. 
  • Support advanced analytics: Power machine learning, artificial intelligence, and big data initiatives. 

Data lakes allow you to quickly access the data needed to improve your business processes. – Karl Oder, Director Data Engineering and Operations

Data Lake vs. Data Warehouse: Key Differences 

While both data lakes and data warehouses are crucial components of a robust data strategy, they serve distinct purposes and operate with different philosophies. Understanding their key differences is essential to choosing the right solution for your specific needs. 

Feature Data Lake Data Warehouse 
Data Structure Schema-on-Read (structure applied during analysis) Schema-on-Write (structure defined before storage) 
Data Types Structured, Semi-structured, Unstructured Primarily Structured 
Processing Raw data stored, transformed as needed Transformed, cleaned data stored 
Schema Flexible, evolving schema Fixed, predefined schema 
Purpose Data exploration, discovery, advanced analytics Reporting, business intelligence, known queries 

In short, think of a data warehouse as a curated library – organized and structured for specific, well-defined questions. A data lake, on the other hand, is more like an archive – vast and diverse, ready for exploration and discovery, allowing for a wider range of analytical possibilities.1 

Data Lakes: Transforming Industries with Data-Driven Insights 

The versatility of data lakes makes them invaluable across a multitude of industries. Let’s explore how a data lake strategy can revolutionize data utilization in Higher Education, Non-Profit, and Healthcare sectors. 

Higher Education: Enhancing Student Success with Data Lakes and Student Data 

For higher education  institutions, understanding and optimizing student data is paramount to enhancing student success, improving program effectiveness, and ensuring institutional sustainability. A data lake provides the ideal environment to consolidate diverse student data points, ranging from enrollment demographics and academic performance to engagement metrics, financial aid information, and post-graduation career paths.    

Working with Datatelligent to build our data lake has been transformative. We now have the flexibility to create the specific data views our teams need while upholding student privacy, and crucially, we can finally look back historically, day by day. This gives us the essential insights needed for building a sustainable future for enrollment management.
– Debbie Phelps, Executive Director of Institutional Effectiveness

By leveraging a data lake, colleges and universities can: 

  • Gain a Holistic View of the Student Journey: Integrate data from various systems – student information systems (SIS), learning management systems (LMS), CRM platforms, and alumni databases – to create a comprehensive picture of each student’s experience from admission to career placement. 
  • Personalize Student Support and Interventions: Identify at-risk students earlier by analyzing patterns in academic performance, engagement levels, and demographic factors, enabling proactive interventions and personalized support services. 
  • Optimize Curriculum and Program Offerings: Analyze program enrollment trends, student performance within specific programs, and post-graduation employment outcomes to refine curriculum, identify high-demand programs, and ensure alignment with industry needs. 
  • Improve Alumni Engagement and Fundraising: Understand alumni demographics, career trajectories, and engagement history to personalize outreach efforts, improve fundraising strategies, and build stronger alumni networks. 

Imagine using a data lake to analyze how different academic programs impact student job placement rates and salary growth after graduation. This level of insight, powered by a robust data lake architecture, is transforming how higher education institutions operate and serve their students. 

Non-Profit Organizations: Measuring and Maximizing Effectiveness Data with Data Lakes 

Non-profit organizations are driven by a mission to create positive impact. To effectively achieve their goals and demonstrate their value to donors and stakeholders, non-profits need to rigorously measure their effectiveness. A data lake empowers non-profits to consolidate and analyze diverse effectiveness data – program participation metrics, demographic data of served populations, donor information, community impact indicators, and operational efficiency data. 

With a data lake in place, non-profit organizations can: 

  • Quantify Program Impact and Outcomes: Track program participation, measure outcomes against defined goals, and identify areas for program improvement and optimization. 
  • Understand Beneficiary Needs and Demographics: Analyze demographic data of served populations to tailor programs to specific community needs and ensure equitable access to services. 
  • Enhance Fundraising and Donor Engagement: Analyze donor behavior, identify giving patterns, and personalize communication strategies to cultivate stronger donor relationships and improve fundraising effectiveness. 
  • Improve Operational Efficiency and Resource Allocation: Analyze operational data to identify areas for cost reduction, streamline processes, and optimize resource allocation to maximize impact. 

By harnessing the power of a data lake to analyze their effectiveness data, non-profits can move beyond anecdotal evidence and demonstrate tangible results, build trust with stakeholders, and secure the resources needed to amplify their impact. 

Healthcare: Optimizing Workforce and Operations with Employee Data in Data Lakes 

In the complex and demanding healthcare industry, efficient operations and a engaged workforce are critical to delivering quality patient care. Analyzing employee data within a data lake can provide healthcare organizations with invaluable insights to optimize staffing, improve employee satisfaction, and enhance operational efficiency. A data lake can centralize diverse employee data from HR systems, payroll, scheduling platforms, performance management systems, and employee satisfaction surveys. 

Leveraging a data lake for healthcare employee data allows organizations to: 

  • Optimize Staffing and Resource Allocation: Analyze staffing levels, patient volume, and employee skill sets to optimize scheduling, reduce staffing shortages, and ensure appropriate resource allocation across departments and shifts. 
  • Improve Employee Retention and Reduce Turnover: Identify factors contributing to employee turnover, analyze trends in employee satisfaction and engagement, and implement targeted initiatives to improve employee morale and retention rates. 
  • Enhance Workforce Training and Development: Analyze employee skill gaps, identify training needs, and personalize professional development programs to enhance employee skills and improve patient care outcomes. 
  • Improve Operational Efficiency and Cost Management: Analyze employee performance data, identify areas for process improvement, and optimize workflows to enhance operational efficiency and reduce labor costs. 

By utilizing a data lake to gain a deeper understanding of their employee data, healthcare organizations can create a more efficient, engaged, and effective workforce, ultimately leading to improved patient care and a stronger bottom line. 

Datatelligent: Your Partner in Data Lake Solutions for Every Industry 

At Datatelligent, we understand the transformative power of data lakes and are dedicated to helping organizations across higher education, non-profit, healthcare, and beyond unlock the full potential of their data. We offer a comprehensive suite of services to guide you through every stage of your data lake journey, from strategy and design to implementation, management, and analytics. 

We empower organizations to become truly data-driven by providing tailored data lake solutions that address their unique industry challenges and business objectives. Our expertise extends across: 

  • Data Lake Strategy & Consulting: We work with you to define your data lake vision, assess your data landscape, and develop a roadmap for successful implementation. 
  • Data Lake Implementation & Management: Our expert team designs, builds, and manages robust and scalable data lake environments tailored to your specific needs. 
  • Data Analytics & Business Intelligence: We help you extract actionable insights from your data lake through advanced analytics, data visualization, and business intelligence solutions. 

And for higher education institutions seeking to demonstrate the value of their academic programs, we are proud to introduce our innovative Academic Program Market Value product. 

Introducing Academic Program Market Value: A Datatelligent Innovation for Higher Education 

Academic Program Market Value is a cutting-edge solution specifically designed for higher education institutions to showcase the real-world value of their degree programs. Leveraging the power of data analytics and the foundation of a robust data lake, this product provides colleges and universities with unprecedented insights into student career outcomes, industry trends, and program effectiveness. 

With Academic Program Market Value, institutions can: 

  • Demonstrate Program ROI to Prospective Students and Parents: Present compelling data on graduate job placement rates, average starting salaries, and career growth trajectories for each academic program, empowering prospective students and parents to make informed decisions. 
  • Identify High-Demand Programs and Career Paths: Analyze labor market trends, industry growth projections, and graduate employment data to identify programs aligned with high-demand career paths, enabling strategic program development and resource allocation. 
  • Optimize Curriculum to Meet Industry Needs: Gain insights into the specific skills and competencies valued by employers in various industries, allowing for curriculum enhancements that directly prepare students for successful careers. 
  • Benchmark Program Performance Against Competitors: Compare program outcomes and career placement data against peer institutions to identify areas for improvement and demonstrate program competitiveness. 

Academic Program Market Value is more than just a reporting tool; it’s a strategic asset that empowers higher education institutions to demonstrate their value proposition, attract top students, and ensure their programs are aligned with the evolving needs of the workforce. 

Ready to Dive into Your Data Lake Journey? 

Whether you are in higher education, non-profit, healthcare, or any other data-driven industry, Datatelligent is your trusted partner in harnessing the power of data lakes. Contact us today to learn more about how we can help you unlock the potential of your data and transform your organization into a data-driven powerhouse. Let us help you navigate the complexities of data and turn your information into actionable intelligence for a brighter future 

Categories
Blog Higher Education

Predicting the Future of Enrollment: Leveraging Data-Driven Insights 

Job Market Data going to colleges

Introduction 

In higher education, accurate enrollment forecasting is no longer a luxury but a necessity. Institutions must anticipate future trends, identify growth opportunities, and make informed decisions to ensure their long-term success. By harnessing the power of data-driven insights, institutions can optimize their enrollment strategies and achieve their enrollment goals. 

The Power of Data-Driven Enrollment Forecasting 

Data-driven enrollment forecasting empowers institutions to: 

  • Identify High-Demand Programs: By analyzing industry trends and labor market data, institutions can pinpoint programs that align with emerging career opportunities. 
  • Optimize Resource Allocation: Informed decisions about faculty hiring, course offerings, and facility investments can be made based on accurate enrollment projections. 
  • Enhance Student Recruitment and Marketing: Targeted recruitment efforts can be directed towards high-potential student segments, maximizing the return on investment. 
  • Develop Effective Student Retention Strategies: By understanding the factors that influence student retention, institutions can implement strategies to improve persistence and graduation rates. 

Introducing Datatelligent’s Academic Program Market Value Tool 

Datatelligent, in partnership with Labor Titan, has developed a powerful tool to revolutionize enrollment forecasting. This innovative solution leverages advanced analytics and machine learning to provide actionable insights into the market value of academic programs. 

Key Benefits of Using Datatelligent’s Tool: 

  • Accurate Enrollment Projections: By analyzing a wide range of factors, including industry growth, job market trends, and demographic shifts, the tool delivers precise enrollment forecasts. 
  • Data-Driven Decision Making: Institutions can make informed decisions about program offerings, resource allocation, and marketing strategies. 
  • Enhanced Student Recruitment and Marketing: Targeted recruitment efforts can be directed towards high-potential student segments, maximizing the return on investment. 
  • Improved Student Retention: By understanding the factors that influence student retention, institutions can implement strategies to improve persistence and graduation rates. 

How to Leverage Enrollment Forecasting for Effective Student Retention Strategies 

Accurate enrollment forecasting is essential for developing effective student retention strategies. By understanding future enrollment trends, institutions can: 

  • Proactively Address Potential Challenges: Identify potential enrollment declines and take steps to mitigate their impact. 
  • Optimize Resource Allocation: Allocate resources to support student success and retention initiatives. 
  • Implement Targeted Retention Strategies: Develop personalized strategies to address the specific needs of different student segments. 
  • Monitor Key Retention Metrics: Track key metrics, such as retention rates and graduation rates, to measure the effectiveness of retention efforts. 

Conclusion 

By embracing data-driven enrollment forecasting, institutions can gain a competitive edge and ensure their long-term success. Datatelligent’s Academic Program Market Value Tool provides the insights needed to make informed decisions, optimize resource allocation, and enhance student recruitment and retention. To learn more about how this powerful tool can benefit your institution, visit https://datatelligent.ai/solutions/academic-program-market-value/. 

Categories
Blog

Managing Nonprofit Data for Success: From Chaos to Clarity 

Nonprofit organizations are driven by a powerful mission: to make a positive impact on the world. To achieve this mission effectively, data-driven decision-making is crucial. However, many nonprofits struggle with managing their data, hindering their ability to understand their impact, optimize programs, and secure funding. This article explores the importance of robust nonprofit data management and how a strategic approach can unlock valuable insights, ultimately driving greater success. 

The Importance of Nonprofit Data Management 

Effective data management systems for nonprofits are no longer a luxury, but a necessity. In today’s complex landscape, nonprofits must be able to demonstrate their effectiveness and impact to stakeholders, including donors, grant-makers, and the communities they serve. This requires collecting, organizing, and analyzing data to tell a compelling story about the organization’s work. Poor data management can lead to inefficiencies, missed opportunities, and an inability to measure progress toward strategic goals. Conversely, strong data management empowers nonprofits to make informed decisions, improve programs, and maximize their impact. 

Nonprofit Effectiveness and the Role of Data 

Nonprofit effectiveness is intrinsically linked to the ability to collect, analyze, and utilize data effectively. Data can provide crucial insights into program performance, constituent needs, and fundraising effectiveness. By understanding these data points, nonprofits can refine their strategies, optimize resource allocation, and demonstrate the value of their work. Data-driven insights are essential for: 

  • Program Evaluation: Measuring the impact of programs and identifying areas for improvement. 
  • Fundraising: Identifying potential donors, tracking donation trends, and demonstrating the impact of contributions. 
  • Strategic Planning: Setting realistic goals, tracking progress, and making informed decisions about future direction. 
  • Communication: Crafting compelling narratives about the organization’s work and impact. 

Unlocking Insights: Data Analysis for Nonprofits 

Effective nonprofit data management is not just about collecting data; it’s about extracting meaningful insights that drive action. By analyzing data, nonprofits can identify trends, patterns, and correlations that would otherwise be invisible. This can lead to a deeper understanding of the challenges faced by the communities they serve, the effectiveness of their programs, and the impact of their fundraising efforts. For example, analyzing demographic data can help a nonprofit understand the specific needs of its target population, while tracking program participation data can reveal which programs are most effective. These insights are crucial for making informed decisions about program design, resource allocation, and strategic direction. 

The Rise of the Data Lake for Nonprofits 

The landscape of data management is constantly evolving. One of the latest trends is the adoption of data lakes. A data lake is a centralized repository that stores data in its native format, allowing for greater flexibility and scalability. This approach is particularly beneficial for nonprofits, which often deal with diverse data sources, including donor databases, program data, and social media analytics. Datatelligent has helped numerous nonprofit organizations transition to a data lake architecture, enabling them to consolidate their data, improve data quality, and unlock valuable insights. This modern approach to nonprofit data management is crucial for organizations looking to maximize their impact. 

From Data to Dashboards: Monitoring KPIs for Success 

Ultimately, the goal of effective data management is to provide actionable insights that drive positive change. This is often achieved through the development of dashboards that visualize key performance indicators (KPIs). These dashboards provide a clear and concise overview of the organization’s performance, allowing stakeholders to easily monitor progress toward strategic goals. Dashboards are invaluable tools for: 

  • Tracking Progress: Monitoring key metrics related to program performance, fundraising, and operational efficiency. 
  • Communicating Impact: Demonstrating the organization’s impact to donors, grant-makers, and other stakeholders. 
  • Making Data-Driven Decisions: Identifying areas for improvement and making informed decisions about resource allocation. 

These dashboards become essential tools during funding meetings, providing concrete evidence of the nonprofit’s impact and effectiveness. They showcase the organization’s ability to use data to drive decisions, measure progress, and achieve its mission. 

Conclusion 

In the nonprofit sector, data is not just a collection of numbers; it is a powerful tool for driving positive change. By embracing effective data management practices, nonprofits can unlock valuable insights, improve program effectiveness, and maximize their impact. Investing in robust data management systems and data analysis capabilities is an investment in the organization’s future and its ability to fulfill its mission. As the sector continues to evolve, data-driven decision-making will become even more critical for nonprofit success. 

Categories
Blog Higher Education

Datatelligent Partners with Tacoma Community College to Deliver Better Outcomes with Data  

Tacoma College Logo

Introduction  

Tacoma Community College (TCC), a leading institution dedicated to student success and academic excellence, has selected Datatelligent to modernize its data analytics capabilities campus wide. This collaboration signifies a pivotal step in TCC’s mission to leverage data-driven insights for enhanced enrollment management and student outcomes. Here’s how Datatelligent earned TCC’s trust and became its chosen data analytics partner.  

TCC’s Data and Analytics Initiative  

In the summer of 2024, TCC released a Request for Proposal (RFP) to seek proposals from firms interested in offering services to help migrate existing data to a centralized repository and implement analytic solutions to improve outcomes. The goal is to improve the student lifecycle, strengthen recruiting and enrollment efforts, and drive better outcomes. 

TCC recognized the need to improve its data and analytics environment to meet its short- and long-term goals. This included connecting multiple data sources, eliminating data silos, and providing decision-makers with real-time data. From a business perspective, TCC outlined the following key strategic goals as priorities: 

  • Enhance student outcomes 
  • Improve tracking for data-driven decision-making on enrollment trends with real-time statistics 
  • Optimize recruiting efforts 
  • Provide deeper insights into student demographics and key metrics 
  • Create user-friendly internal dashboards for diverse audiences 
  • Increase data transparency across the organization 

Why Datatelligent?  

After thoroughly evaluating several vendors, Datatelligent was selected for its strong alignment with TCC’s needs and deep understanding of their business.  

“Partnering with Datatelligent marks a significant milestone in our data and analytics transformation,” said Kelley Sadler, Director of Instructional Research at TCC. “Their expertise in higher education and deep understanding of our needs makes them the ideal partner. After an extensive evaluation, we chose Datatelligent for its comprehensive approach to data analytics, customizable KPIs, and unified platform. This partnership will streamline our data, enhance adoption, and drive better outcomes in recruiting, admissions, enrollment, student success, retention, and more.” 

With Datatelligent, TCC will:  

  • Improve insights into the full student lifecycle from admissions to graduation/completion 
  • Have a greater understanding of faculty performance as it relates to student success 
  • Enable the ability to track the progression of each student through the enrollment funnel in addition to tracking DEI metrics for diverse prospective student populations  
  • Through actionable insights, better identify students at-risk for proactive intervention and success  
  • Navigate complex finance and budget situations with dynamic “what if” scenario modeling  
  • Optimize marketing efforts to ensure the most impactful channels and activities are delivering optimal ROI  
  • Unify data by connecting multiple data sources to Snowflake including Peoplesoft, Slate, Canvas, and data such as tutoring, surveys, IPEDS, NSC, and other databases 

What does the Datatelligent contract with TCC mean to other higher education institutions in the State of Washington?  

This contract allows other colleges and universities in the State of Washington to purchase solutions from Datatelligent without going through a separate Request for Proposal (RFP) process. 

About Tacoma Community College  

Tacoma Community College (TCC) is a comprehensive state-supported community college serving the city of Tacoma and the surrounding areas. Established in 1965, TCC offers various programs, including Bachelor of Applied Science degrees, associate degrees, professional and technical certificates, and transfer pathways to four-year institutions. With a commitment to equity, diversity, and inclusion, TCC serves over 12,000 students annually, with 50% identifying as students of color and a median age of 24. The college strives to provide high-quality, affordable education that transforms lives and strengthens the community.  

About Datatelligent  

Datatelligent is a data analytics company specializing in empowering organizations to become data-informed. By offering Data Analytics as a Service, Datatelligent helps remove barriers for organizations to make data-informed decisions. Their solutions include unified data platforms, analytic solutions, and AI starter solutions tailored to higher education institutions and non-profit organizations’ unique needs. Datatelligent’s mission is to use data to make communities better, providing organizations with the tools and insights needed to drive meaningful outcomes.  

Conclusion  

Datatelligent’s partnership with Tacoma Community College exemplifies its commitment to helping higher education institutions unlock the full potential of their data. Together, TCC and Datatelligent will drive informed decision-making, enhance student success, and pave the way for a data-driven future.  

Categories
Blog Higher Education Student Retention

Demystifying IPEDS: A Comprehensive Guide to Understanding and Utilizing its Power 

IPEDs described in an image

In the realm of higher education, data plays a pivotal role in shaping institutional effectiveness, accountability, and student success. The Integrated Postsecondary Education Data System (IPEDS) serves as a cornerstone for collecting and reporting vital information about colleges and universities across the United States. This blog post delves into how Datatelligent can streamline the reporting process for institutions and increase the useability of its data.. 

What is the IPEDS? 

IPEDS stands for Integrated Postsecondary Education Data System and is a comprehensive series of surveys designed to gather and analyze data related to postsecondary institutions. Administered by the National Center for Education Statistics (NCES) within the U.S. Department of Education, IPEDS encompasses a wide array of information, including: 

  • Student demographics: Enrollment, retention, graduation rates, financial aid 
  • Faculty and staff: Numbers, salaries, demographics 
  • Finances: Revenues, expenditures, endowments 
  • Academic programs: Degrees offered, completions 
  • Institutional characteristics: Location, control, mission 

IPEDS and Datatelligent: Empowering Institutions with Data-Driven Insights 

Navigating the complexities of IPEDS reporting and analysis can be challenging for institutions. Datatelligent offers specialized services designed to streamline the process and unlock the full potential of your data. Our solutions are tailored to meet the unique needs of each institution, providing: 

  • Customizable dashboards and visualizations: We work closely with you to develop interactive dashboards that present your IPEDS data in a clear and meaningful way. 
  • Comprehensive data analysis: Our team of experts can help you identify trends, patterns, and insights hidden within your data. 
  • Accurate and efficient reporting: We ensure that your IPEDS reporting is accurate, complete, and submitted on time. 
  • Strategic planning support: We leverage your data to inform your strategic planning process and drive institutional improvement. 

With a proven track record of success, Datatelligent has empowered numerous institutions to effectively leverage their IPEDS data. Our solutions go beyond generic templates, providing a truly customized approach that aligns with your specific goals and priorities. By transforming your data into actionable intelligence, we help you make data-driven decisions that enhance student success, optimize resource allocation, and advance your institutional mission.

Get Started with IPEDs?

Contact Datatelligent today to learn more about how we can help you harness the power of IPEDS. 

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AI Blog Other

Empowering Small Businesses with Gen AI: Join Our Upcoming Webinar

Register Today!

This past year, Datatelligent and other partners launched a pilot program to explore how small businesses could benefit from generative AI (Gen AI) solutions. This initiative, part of the AI Innovation Collaborative with Innovation DuPage, aimed to connect a select group of small businesses with Gen AI providers. The goal? To help these businesses unlock the growth potential of Gen AI—a resource often out of reach for small enterprises due to time and budget constraints.


The pilot was a success. Our five participating businesses not only increased their understanding of Gen AI but also generated ideas for applying it directly to their operations. In some cases, they even implemented functional AI solutions, marking a significant step toward AI-driven growth.


Building on the successful pilot, we’re excited to extend this opportunity to even more small businesses. In partnership with Choose DuPage, we invite you to join our upcoming webinar, Empowering Small Businesses with Practical Gen AI Solutions, on November 14. This session will focus on practical ways small businesses can leverage Gen AI to drive innovation and improve efficiency.


Register here to be part of this empowering event. Let’s work together to harness data and AI to build stronger, smarter communities!

register today!
Categories
Blog Higher Education

The Lucrative ROI of Technical Education – Webinar

The Lucrative ROI of Technical Education - Webinar
The Lucrative ROI of Technical Education - Webinar
Register Today!

As the workforce evolves, more students discover that trade careers offer a faster, more affordable path to success than traditional four-year degrees. Our upcoming webinar will use economic demand and salary data to highlight how technical education provides a high return on investment, helping students enter the workforce sooner with less debt and strong earning potential.

Learning Objectives

    1. Get a clear picture of the current and future demand for trade careers, especially in fields like construction, manufacturing, and tech.
    2. See how trade careers stack up in earning potential, especially compared to traditional four-year degrees.
    3. Understand the benefits of shorter, more flexible technical programs that help you start working and earning faster.
    4. Learn how technical education keeps up with industry changes and how to use micro-credentials to boost your skills and employability.

    Webinar Details

      • Featured Speakers:
        • Jason Krantz, CEO / Founder, Labor Titan
        • Steve Wightkin, PhD, Chief Product Officer, Datatelligent
      • Date: Tuesday, October 29, 2024
      • Time: 1:00 pm Central
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      Educause Annual Conference 2024

      Educause Annual Conference 2024
      Educause Annual Conference 2024 in San Antonio, TX

      Educause Annual Conference 2024

        Datatelligent is thrilled to announce that our trusted partner, Snowflake, will be exhibiting at the EDUCAUSE Annual Conference from October 21–24, 2024, in San Antonio. This premier event brings together thought leaders and technology experts in higher education, all focused on exploring innovative solutions that drive success across campuses. It’s an excellent opportunity to learn about the latest trends, network with professionals, and discover new technologies that can transform your institution’s operations.


        Snowflake’s cloud-based data platform offers unparalleled capabilities for higher education institutions to unlock the power of their data. From enabling seamless data sharing to providing insights through advanced analytics and AI, Snowflake is shaping the future of data in education. Be sure to visit Snowflake at booth 7103 to explore how their solutions can address your institution’s unique challenges.


        As a dedicated partner and reseller of Snowflake, we encourage you to connect with the Snowflake team if you are attending!

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        Blog

        The Impact of Generative and Predictive AI on Higher Education: Revolutionizing Administration, and Student Success and Student and Faculty Satisfaction

        Impact of Generative and Predictive AI
        Impact of Generative and Predictive AI

        Generative and Predictive AI continues to emerge as a transformative force across multiple sectors, including higher education. With its ability to understand, learn, and create content, AI offers powerful solutions to streamline administrative processes, boost student success, and improve student and faculty satisfaction. 

        Optimizing Administrative Operations

          Higher education institutions manage a wide range of administrative tasks, often leading to inefficiencies. AI can automate many of these processes—such as scheduling, data analysis, and report creation. For example, AI solutions can: 

          This automation not only alleviates administrative workloads but also enhances the speed and accuracy of decision-making.

          Student and Faculty Satisfaction

          AI can automate and optimize an institution’s course catalog, resulting in improved student and faculty satisfaction. As a result, Gen AI is capable of:

          • Generating and updating course descriptions, prerequisites, and availability
          • Analyzing students’ academic history and interests to recommend courses
          • Chatbots to answer questions and assist with course selection
          • Optimizing course scheduling by analyzing faculty availability and room capacity
          • Managing real-time catalog updates, tracking changes, and maintaining version control
          • Translating the catalog into multiple languages
          • Forecasting course demand based on enrollment patterns

          Supporting Student Success

          Improving student success through one-to-one support and early interventions is a key factor to success and retention. Predictive analytics leveraging AI can:

            • Identify at-risk students based on factors such as attendance, grades, and engagement
            • Early detection allows institutions to implement targeted interventions—such as tutoring or counseling—leading to higher retention rates and greater student satisfaction

            Conclusion

            In conclusion, Generative and Predictive AI continue to rapidly transform higher education by enhancing administrative efficiency, student success, and overall satisfaction for both students and faculty. By automating tasks, optimizing course offerings, and providing early intervention for at-risk students, AI-driven solutions streamline institutional processes while improving academic outcomes.

            As AI continues to evolve, its role in higher education will only deepen, allowing institutions to operate more effectively, enhance student experiences, and ultimately support the achievement of educational goals on a broader scale.

            If you want to learn more about Generative and Predictive AI, Datatelligent now offers a cost-effective training course specifically designed for higher education.

            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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