CIO Business Intelligence
AUGUST 29, 2024
“It’s important to ensure the technology function isn’t just a set of blinking lights and widgets,” says Sean Carritt, director for ICT and business systems at Infrastructure NSW, the government agency of New South Wales that identifies and prioritizes public infrastructure for economic and social benefit.
DataKitchen
FEBRUARY 1, 2021
These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm. Your data consumers are focused on business objectives. They need to grow sales, pursue new business opportunities, or reduce costs.
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Rocket-Powered Data Science
FEBRUARY 15, 2023
First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Conduct market research.
datapine
JULY 17, 2019
Let’s start by considering what KPIs are and what they mean in a business context. KPI is a value measured to assess how effective a project or company is at achieving its business objectives. KPIs used: Customer Acquisition Costs. Acquisition Cost. What Is A KPI? click to enlarge**. Customer Lifetime Value.
CIO Business Intelligence
MAY 24, 2024
This was one area addressed in the HP-sponsored IDC whitepaper on the benefits of integrating managed device services, published in April 2024 [1]. Register here to read the full HP-sponsored IDC whitepaper on the benefits of integrating managed device services. [1]
datapine
DECEMBER 11, 2019
SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. This results in more flexibility and upselling opportunities, and lower customer acquisition costs. Hence, micro-SaaS.”.
CIO Business Intelligence
NOVEMBER 19, 2024
This year, many CIOs have focused on getting AI prototypes up and running without fully considering the long-term operating costs , he says. Gartner recently estimated that organizations that don’t understand how their generative AI costs scale could make a 500% to 1,000% calculation error, he notes. That’s not where you want to be.”
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