Data Silos: The Dead End of Innovation

Breakthroughs in Life Sciences happen within a unified data environment Imagine an environment where groundbreaking research gets locked on departmental servers, important patient insights only live in isolated databases, and critical financial data remains siloed from clinical trials. It may not be too difficult to imagine, as this, unfortunately, is the reality for many life

Unleashing Data Order from Chaos

Embracing the Data Chaos Captain Within. In today’s data-driven world, we’re drowning in an ever-expanding ocean of information. Data is constantly being generated, captured, and stored exponentially, creating a chaotic landscape where valuable insights often lie hidden beneath the surface. Here is where the Data Chaos Captain becomes indispensable. We’re the data wranglers, the information

6 Guiding Principles for Data Modernization

How we meet you where you are to take you where you want to go In the competitive business landscape, companies require innovative solutions which help them leverage their data to overcome complex business challenges. At CTI Data, we provide distinctive solutions grounded in six key principles. We have found that these guiding principles allow

How NOT to Make this Data & Analytics Project Your Last

One of the most important things to remember when undertaking an IT Data and Analytics Project is to avoid making it your last. IT projects are a crucial part of any business, as they help to streamline processes, improve efficiency, and increase productivity. However, these projects can also be complex and challenging, and it’s common

Enterprise Data Solutions – Unlocking the Riches and Avoiding the Glitches

Purpose of Data Solutions Data solutions are designed to empower organizations with transparency, standardization, and enhanced utilization of their collected data. At CTI Data, we focus on developing and implementing enterprise data solutions that yield substantial returns on investment by focusing early on the underlying characteristics of a successful platform and a strategic roadmap defining how

To Stream or Not to Stream, That is the Question

data streaming

Considering Modern Data Integration Methods Overview As more organizations implement robust data solutions and technology advances, there is always debate about what the best architecture, methods, and applications are to bring these solutions to life. Relational structured databases referred to as the modern data warehouse have been a favorite for it’s flexibility, ease of use,

The Bridge Between a Company’s Growth and its Data Analytics Strategy

Drawing from extensive experience working with lots of fast-growing companies, I knew there was more to better decisions than just more tools, more dashboards, and more visualizations. In addition, getting to insights faster doesn’t always ensure you’ll get to the correct business aspirations. The essence of strategy is to find a unique position in your business that

Democratizing Data Governance

data governance, data democratization

Analytics community governance is the concept that those who know the data most – those who create, analyze, and draw conclusions from the data – should be the ones creating governance policies around that data. Also known as bottom-up data governance, this practice ensures buy in from key stakeholders and end users while also creating

How the Student Lifecycle Met LCME Big Data

The Liaison Committee on Medical Education (LCME) accreditation process for medical schools within the United State and Canada is a very intensive and time consuming process. As it should be, given the goal of these schools is to turn out some of the best medical professionals in the world.  One could argue that the LCME

Analytics for Higher-Ed: A World of Opportunities, But Beware

Higher education, student universe, student lifecycle

Student Life-cycle at HEDW Conference — On April 23rd – 26th, CTI is once again sponsoring the Higher Education Data Warehouse conference. Last year at the conference we introduced the concept of the “Student Lifecycle” to drive recruitment, retention and success. The impact of analytics is driving improvements in University performance across a broad spectrum,


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