Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. There are many reasons for this poor success rate, one of ...
In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...
AI can crank out insights at lightning speed, but without solid analytics foundations, it just amplifies noise instead of ...
LSEG launches Model-as-a-Service and welcomes Societe Generale to its model marketplace ...
HIMSS Analytics has launched a new maturity model to help healthcare organizations measure how their technology deployments compare with their peers. The new Infrastructure Adoption Model, or INFRAM, ...
Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...
Google Analytics is removing four attribution models in October 2023. A new "calculated metrics" feature will allow custom combinations of metrics. Users should audit reports and test new models now ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...
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 ...
Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights into ...
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