Nonprofits Using Advanced Analytics See Higher Campaign Results

Andrea Steffes-Tuttle Nonprofit

Advances in technology and rapid digitization of information have made data more accessible, setting a new expectation for the collection and sharing of information. Constant connectivity has transformed the nature of interactions, resulting in pressure for nonprofits to reach constituents in new ways and communicate impact. These movements, coupled with emerging curiosity about artificial intelligence (AI), can paint an overwhelming …

Identifying High-Cost Health Patients, AI-Car Appraisal, & More

Andrea Steffes-Tuttle Weekly Roundup

This week’s roundup dives into healthcare firms using historical data to identify high-cost patients, and how CarStory manages their inventory with the use of an AI-car tool. We also look at defining segmentation and finding satisfactory results within your business. Lastly, how predictive analytics can help you capitalize on available data to make smarter business choices. Predictive Analytics with Claims …

Segmenting—Are You Doing it Right?

Gary Robinson Marketing Analytics

In this article, we will discuss what segmentation is, why you should care and how it’s sometimes used ineffectively by marketers and firms alike. What is Segmentation? Segmentation is a universally understood construct that does not need to be taught to be recognized. We use it every day as we subconsciously put things into various buckets so we can quickly …

Analytic Missteps, Data-Rich Human Resources, Energy Demand & More

Andrea Steffes-Tuttle Weekly Roundup

This week’s roundup discusses why CIO’s will continue to lead the digital transformation age, common missteps in analytics that can derail your data outcomes, and how data-rich Human Resource teams are taking the next steps to help better benefit their employees. We also feature articles that cover the use of predictive analytics to help with energy demands by reducing downtimes …

Why Data Visualization is Crucial for Business Intelligence

Andrea Steffes-Tuttle Insights

Businesses have data coming in from many different sources, and this information must be analyzed effectively to create accurate business intelligence (BI) strategy. Traditional BI was not purpose-built for modern marketing. That’s because it relied on skills like SQL coding that some analysts and most marketers don’t have.  In the past, BI required manual methods to connect and unify the …

Healthcare, Earthquake Detection, Consumer Data Platforms and More

Andrea Steffes-Tuttle Weekly Roundup

This week’s roundup discusses how Consumer Data Platforms aren’t just for marketers, predictive analytics being the backbone of data-driven marketing and the promise of predictive analytics in healthcare to determine possible downturns in health. Data Digest dives deep into machine learning in JavaScript, Multitenant Data Sets, and Earthquake Detection. Lastly, we notice predictive analytics in more industries than before and our …

How Point-and-Click Advanced Analytics Make Analyzing Data Insights Easier

Gary Robinson Optimization, Predictive Analytics

Now You Don’t Have to Be a Computer Programmer to Benefit from Predictive Analytics and Constrained Optimization Advanced analytics and “Big Data” are driving decisions in a massive way, and the scope is only going to expand. Collecting precise data offers companies unlimited possibilities to improve their marketing efficiency. Making better and faster decisions with data is becoming critical for …

Algorithmic Bias, DataSet Search by Google, use of AI on Social Platforms and more!

Andrea Steffes-Tuttle Weekly Roundup

This week’s roundup discusses the challenges of understanding data preparation, learning to solve for algorithmic bias, Google’s new Dataset search platform, and Leveraging AI to allow marketers to connect between Account-based Marketing and social media targeting.  Overcoming Data Preparation Challenges By Steve Ludwig, Senior Consultant with Lityx Organizations that understand the distinction between reporting and analytics have a tendency to innovate …

Overcoming Data Preparation Challenges

Steve Ludwig Data Management

Organizations that understand the distinction between reporting and analytics simultaneously innovate in data quality and analytics. Analytics needs data, but analytics programs are not necessarily reporting departments. Reporting is a process of organizing data, whereas analytics is a process of exploring data. Analytics is forward-driven, answering what will happen. Reporting usually looks at what has already happened. According to the …