Data Transformation Finance Forecasting 
CIO Business Intelligence
AUGUST 9, 2024
As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs. The application enables IT to select a period of time to analyze passenger traffic — say, 50,000 customers between January and July in one area of the airport.
Alation
OCTOBER 26, 2021
Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1. This is because accurate data is “table stakes” for finance teams.
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David Menninger's Analyst Perspectives
NOVEMBER 7, 2024
AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. Finance people think in terms of money, but line-of-business managers almost always think in terms of things.
CIO Business Intelligence
APRIL 8, 2025
In financial services, mismatched definitions of active account or incomplete know-your-customers (KYC) data can distort risk models and stall customer onboarding. In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. Embed end-to-end lineage tracking. Each domain (e.g.,
AWS Big Data
NOVEMBER 15, 2023
It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. The difference lies in when and where data transformation takes place.
CIO Business Intelligence
FEBRUARY 16, 2023
But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.
IBM Big Data Hub
APRIL 14, 2023
However, their manual planning and budgeting process in spreadsheets posed several challenges, including lack of control, delayed data, poor execution, and the need for continuous follow-up with IT for actual data. They faced obstacles such as a prolonged budget process, manual forecasting, and no product profitability.
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