I’m excited to head up the predictive analytics team within the HDR consulting group. However, I’m not sure people know what predictive analytics is, or who does it, or what it’s used for. As HDR’s ...
Analytics depends on data — the more, the merrier. If we’re trying to model, say, the behaviour of customers responding to marketing offers or clicking through a website, we can build a far stronger ...
In today’s data driven world businesses turn to modern data architectures to harness data, drive innovation and stay a ...
What if you could know in advance which patients would benefit from certain therapies? Or identify patients approaching a medical crisis and intervene before it’s too late? While doctors have ...
In this special guest feature, Rex Ahlstrom, Chief Strategy & Technology Officer, BackOffice Associates, highlights ways to leverage data with predictive analytics. Rex has over 28 years of technology ...
HP today unveiled HP Haven Predictive Analytics, a new offering that accelerates and operationalizes large-scale machine learning and statistical analysis, and ultimately provides organizations with ...
Sharpen the skills to find patterns others miss and show why they matter. California Lutheran University’s MSIT data analytics track offers hands-on courses that integrate visualization, big data ...
In today’s competitive business environment, empowering your teams with data-driven decision-making is essential. However, amid an organization’s vast sea of data, the process of effectively ...
Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...
Recent news about closures of brick-and-mortar stores paints a gloomy picture for the retail industry, with retailers seemingly having no hope for recovery in the face of the e-Commerce giants. Some ...
Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...
Compared to other industries, healthcare as a whole has been a late adopter of big data predictive analytics. This may be due in part because of concerns about patient confidentiality and fears of ...