Remove Analytics Remove Business Objectives Remove Cost-Benefit
article thumbnail

Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. But this scenario is avoidable.

article thumbnail

Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. 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. Find Unhappy Analytics Users.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

Robotic process automation (RPA) has been a cornerstone of task automation, allowing businesses to execute high-volume, transactional procedures with minimal human intervention. Enterprises that adopt RPA report reductions in process cycle times and operational costs.

article thumbnail

5 tips for better business value from gen AI

CIO Business Intelligence

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Below are five examples of where to start.

Sales 143
article thumbnail

CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

The time has come for data leaders to move beyond traditional governance and analytics sustainability is the next frontier for CDOs, and the opportunity to lead is now. If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns.

IT 59
article thumbnail

Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

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.

Strategy 290
article thumbnail

The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

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. Some examples are healthcare analytics software, retail analytics , or modern logistics analytics. Hence, micro-SaaS.”.

Software 314