AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

DECEMBER 21, 2022

Defined as an enabler of frictionless access of data sharing in a distributed data environment, data fabric aims to help companies access, integrate, and manage their data no matter where that data is stored using semantic knowledge graphs, active metadata management, and embedded machine learning.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

AWS Big Data

JUNE 14, 2023

For example, AWS Professional Services launched Financial Insights Tool (FIT) 2 years ago, a QuickSight dashboard that reports project financials, project revenue leakage, and margin erosion by evaluating actuals and forecasts at any granularity. Reusable – The ultimate goal of FAIRS is to optimize the reuse of data.

Dashboards 86

Dashboards KPI Scorecard Metadata 86

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) Learn more about IBM watsonx 1.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Octopai

JUNE 9, 2024

They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Metadata 52

Alation

DECEMBER 2, 2022

For example, the Alation State of Data Culture Report , found that 97% of global data leaders report their companies have suffered the consequences of ignoring data, leading to bad investments, poor forecasts, or the loss of new revenue opportunities. What are the benefits of data-driven decision making?

Data-driven 52

Data-driven Insurance Metadata ROI 52

Alation

MARCH 21, 2023

Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Andrew White

JANUARY 11, 2021

where performance and data quality is imperative? Since much of the work is siloed, there are entire markets focused on, for example, data privacy tools, data security tools, data quality tools and more. We cannot of course forget metadata management tools, of which there are many different.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

JULY 28, 2020

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP.

Marketing 364

Marketing Experimentation Metrics Testing 364

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment. Robust Security Jet Analytics prioritizes your data security within the Microsoft Fabric ecosystem.

Analytics 52

Analytics Management Reporting Data Quality 52

David Menninger's Analyst Perspectives

JANUARY 9, 2025

In many organizations, FP&A professionals have less time for analysis because the mechanical process of pulling together and collating data takes up so much time that little remains for using data to spot trends, find opportunities and isolate issues to create better-informed forecasts, plans and decisions.

Finance 130

Finance Forecasting Data Warehouse Interactive 130