CIO Business Intelligence

MARCH 2, 2023

In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture. million consumers.

Data Lake 141

Data Lake Forecasting B2B Optimization 141

datapine

APRIL 15, 2020

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. But before production, you need to develop documentation, test driven design (TDD), and implement these important steps: Actively involve key stakeholders once again.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The scope should contain inputs and data points on the current architecture as well as the target architecture.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Sisense

JULY 8, 2020

Customer support teams look at trends in support tickets or do text analysis on conversations to understand where they can provide better onboarding and documentation. Product and engineering teams dig into productivity metrics or bug reports to help them better prioritize their resources. From ETL to ELT and beyond.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

AWS Big Data

MAY 16, 2023

This issue becomes increasingly challenging for larger organizations that operate in multiple countries and states, because each country and state may have their own rules and regulations regarding data retention and deletion. The Data Lab has three offerings: the Build Lab, the Design Lab, and Resident Architect.

Data Lake 71

Data Lake Cost-Benefit Optimization Testing 71

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Guru Havanur serves as a Principal, Big Data Engineering and Analytics team in Tricentis.

Software 52

Software Data Lake Testing Cost-Benefit 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JANUARY 22, 2024

Parameters of success Acast succeeded in bootstrapping and scaling a new team- and domain-oriented data product and its corresponding infrastructure and setup, resulting in less friction in gathering insights and happier users and consumers. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87