In this contributed article, Jonah Leshin, Head of Privacy Research at Datavant, discusses how we have seen a rapid increase in the digitization and standardization of health data. With this groundwork laid, more recently, there have been concerted efforts to connect siloed health data sources in support of more impactful use cases. Synthetic data serves as a powerful complementary tool for the analyses that these use cases require, bringing us closer to maximizing data utility within the healthcare ecosystem.
How Synthetic Data can be Created and Utilized for a Wide Range of Use Cases in Healthcare
Meet modern compliance: Using AI and data to manage business risk better
Compliance programs must use robust technology and data analytics to assess their own actions and those of any third parties they do business with. At the very least, companies are expected to be able to explain the rationale for using third parties. This is a compliance game-changer. Historically, organizations could argue that they simply did […]
Migrate to Modernize Your Data and Analytics
In this step-by-step guide, learn how to maximize the value of your data by modernizing — to a cloud-ready analytics ecosystem that is scalable, agile, and future-fit.
4 Methods to Increase Your Profits this Year with Analytics and AI
Unlock the massive potential of ecommerce and digital marketing in 2023. Increased online spending by millennials, and the pandemic’s positive effect on digital marketplace acceptance, present opportunities you can capitalize on. Don’t let headlines and trends obscure your outlook—take control of your retail narrative with analytics and AI solutions that drive revenue, decrease costs, and […]
dbt Labs Report – Opportunities and Challenges for Analytics Engineers
The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data.
MIT Experts on What You Need to Know Now about Data Analytics
In a new series, “The Analytics Edge,” published by MIT Sloan School of Management’s Ideas Made to Matter, MIT Sloan faculty, alumni, and industry experts share practical tips for developing and cultivating a strong analytics practice designed to give companies and organizations a distinct advantage for the future.
Podcast: Advances In Sports Analytics: Beyond Moneyball
When Moneyball was released 20 years ago, audiences could not have imagined the strides data scientists would make in sports analytics in the years to come. In the latest UVA Data Points podcast, expert data scientists discuss how machine learning, wearable technology and computer vision are impacting the future of athlete health and sports analytics.
Report: Audit Industry Rising to the Data Analytics Challenge
With businesses facing the strongest economic headwinds in years, the Chartered Institute of Internal Auditors (Chartered IIA) is urging internal auditors to embrace data analytics to navigate more risky, uncertain, and volatile times ahead. The new report, “Embracing data analytics: Ensuring internal audit’s relevance in a data-led world,” from Chartered IIA in partnership with AuditBoard aims to encourage internal audit to fully embrace data analytics and support the organization in doing the same.
With Sustainability Analytics, Big Data Can Save the World
In this contributed article, Cashion “Cash” East, Director of Analytics for Higg, discusses how sustainability analytics requires a lot of data from many different sources. Some of that data already exists and is standardized, while other data is coming from new sources with no established standards. In order for companies to collect and organize ESG data in a meaningful and efficient way, the article recommends that companies start doing five things as they begin building out their sustainability insights platform.
Cinchy Study Details How Dataware Eliminates Data Integration and Revolutionizes Application Development and Analytics
Cinchy, the dataware vendor that’s changing the way organizations work with data, released “The Rise of Dataware: An Integration-Minimizing Approach to Data,” a comprehensive analyst report that highlights a fundamental shift taking place in the data management sector. It focuses on a distinctive architectural approach that redefines the relationship between data and applications, and essentially eliminates the need for data integration as we know it.