Driven by Data

Building Effective Internal Data Reporting Structures

Can you imagine a world where school districts are able to make data-driven decisions to allocate scarce resources to students who are in most need? Or skillfully aggregate and analyze data to improve metrics like attendance, graduation rates, and test results? With increasing access to data and advancements in analytics, this isn’t a pipe dream. In fact, schools and districts across the country are cultivating rich data and using it to advance academic achievement.

Although we all understand the importance of data in advancing academic performance, there’s often a wide gap between the data schools put into their system and taking that data out to perform efficient and effective analyses. That’s why Macro Connect and EdOps are teaming up to help you close that gap and bring this reality to life in your district.

On February 20th Macro Connect and EdOps will be delivering an interactive half-day workshop to walk you through the steps that will help you put good data in, and therefore get informative analytics out.

Register Today!


Get Out What You Put In

The most effective way to stop a problem is to address it at the gate. Once it gets past your initial line of defense, it can really wreak havoc. The same rules apply to your data! The right data can help you understand what students are succeeding and struggling. It can also shed light on a variety of other items from application usage to the effectiveness of school intervention strategies. Bad data can act like a poison in your system, skewing your analytics. Unfortunately, many districts are letting bad data enter their system, crippling their ability to make informed decisions in the future.

Spending time working with dozens of clients has given us the ability to pinpoint the biggest areas of weakness summarized into two main categories: Data Quality and System Configuration.


Data Quality

Up to 80% of a data project’s efforts are spent on data cleansing and quality assurance preparation. It’s like refining gold. No one wants a ring with dirty gravel mixed in! Clean data not only saves time but gives you better results. Data quality is comprised of a few factors including:

  • Completeness: Are all the fields filled in? Are partially filled log files helpful? In the world of data, half a picture can be worse than no picture at all.
  • Validity: Is the data relevant to the analysis you’re conducting?
  • Timeliness: How old is the data? Is attendance data that’s two weeks late quality data? Are test scores from two years ago helpful?
  • Accuracy: Is it data even true? And do you have processes in place to make sure the accuracy of the data is reliable?
  • Consistency: Are your data gathering and data entry practices standardized so that you can clearly observe trends over time?

We’ve accumulated several best practices to make sure you can maintain quality data in your database and we’re going to share them in our session!


System Configuration

You could have the best tires and engines to make the world’s best car, but if you don’t have an assembly line, you might as well have nothing. Quality data is useless if you don’t have the right systems in place to capture, record, and process it. The harder it is to enter data into your system, the harder it will be to use that data. We’ll also share these System Configuration best practices during our session!


Why Data Analytics Are Important

Data-driven decision-making is at the core of most high-performing schools and school districts. Organizations that invest financial and time resources into a cohesive data ecosystem are able to efficiently track individual and aggregate student performance to improve outcomes. Integrating analytics within an organization is certainly a process that requires strategic thought and effort. Through our data analytics work supporting schools across the country, we’ll share best practices around reporting processes, systems, and visualizations that have helped our schools make improve data-driven decisions in support of student achievement. 


The Data Day Overview

Data Day will take place on Thursday, February 20th. This half-day workshop will be held at Macro Connect’s headquarters in Hunt Street Station at 2200 Hunt St, Detroit, MI 48207. That’s just northeast of downtown off Gratiot, near Eastern Market.

We know school leaders have a lot on their plate, so it will be a focused, productive session that gives attendees plenty of time to get some work done in the afternoon. And it’s FREE!

The workshop will be divided into two parts, each lasting 90 minutes:

Part 1 – 9:00am-10:30am
Macro Connect: Optimizing Your Student Data and Systems

This first session will focus on collecting and cleaning the data from your SIS. The better-quality data you start with, the better predictive analytics you can hope to get out.

Part 2 – 10:30am-Noon
EdOps: Building Effective Internal Data Reporting Structures

The second session will focus on processing and analyzing data to glean useful insights. We will help participants develop an internal student data reporting plan and explore student performance metrics commonly tracked at state and local levels. Then we’ll help you link those metrics to internal data systems, understand how to manage reporting contributors and audiences, and explore effective data visualizations.

If you are interested in initial development or ways to enhance your internal student data reporting, then this session is for you. By the end of the morning, you’ll have a defined plan to make your internal student data reporting more powerful for your organization. You’ll be able to:

  1. Define which student performance metrics are most critical to student and school success.
  2. Develop a clear, organized way to track data points collected in various student information systems.
  3. Build a sustainable data reporting cycle that consistently monitors progress throughout the school year.
  4. Create strong data visualizations to enhance your existing reporting.

Register Today!