DataKitchen

NOVEMBER 4, 2021

They lack a place to centralize the processes that act upon the data to rapidly answer questions and quickly deploy sustainable, high-quality production insight. Automation provides a way to accomplish this without hiring expensive teams of consultants. Open, secure platform for anyone to: Access data and analytics.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

DataKitchen

AUGUST 27, 2021

It implemented hundreds of schema and data set changes per week without introducing errors. Arguably the most agile and effective data analytics capability in the pharmaceutical industry was accomplished cost-effectively, with a data engineering team of seven and another 10-12 data analysts.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

MARCH 27, 2024

This is underpinned by building a complete patient profile that enables claim analysts to identify patterns, trends, potential gaps in care, and adherence to care plans. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. He works backward from customer’s use cases and designs data solutions to solve their business problems.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” With a success behind you, sell that experience as the kind of benefit you can help improve. Do you recommend a consulting approach strategy rather than a CDO strategy? See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. For AI to be truly transformative, as many people as possible should have access to its benefits. The second is access.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106