Ontotext

JULY 6, 2023

When powered by a knowledge graph, the solution transforms software tasks into data tasks and enhances the efficiency of data processing and analysis. Experimentation with different technical analysis services becomes possible. It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Alation

SEPTEMBER 28, 2022

In order to make DataOps successful in an organization, there needs to be a shift in culture and mindset around how data is managed. DataOps strategies share these common elements: Collaboration among data professionals and business stakeholders. Easy-to-experiment data development environment. Disposable environments.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

AUGUST 22, 2011

Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Data Quality Sucks, Let's Just Get Over It. Experimentation and Testing: A Primer.

KPI 124

KPI Metrics Measurement ROI 124

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Data science and MLOps.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Occam's Razor

NOVEMBER 13, 2009

No dragging of the feet, the book starts with a bang by laying out the framework that will be the center of every company that will leverage data (qualitative, quantitative, competitive) on the web. Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate. You get a jump start. But do you know how to truly win the game?

Analytics 71

Analytics Metrics Measurement Testing 71

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Alation

DECEMBER 14, 2021

To remain competitive in an omnichannel world, IT leaders must carefully design cloud environments to reflect business needs and strategies. But by partnering with a professional consultant in data quality management systems, forward-thinking enterprises gain a significant competitive edge over their competitors.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Occam's Razor

DECEMBER 12, 2016

How do you ensure that your can zig-zag with business strategy? Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff!

Analytics 141

Analytics Data-driven Strategy Consulting 141

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Dealing with data quality doubt is every day and, sadly, very complex challenge for many, if not most, of us. How have you avoided the data quality quicksand trap?

Modeling 124

Modeling Metrics Data Quality Data-driven 124

CIO Business Intelligence

APRIL 15, 2024

Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You Artificial Intelligence, CIO, Data Management, Data Quality, Generative AI, IT Leadership, Microsoft Azure, Vendors and Providers

Testing 102

Testing Experimentation Data Quality Machine Learning 102

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

OCTOBER 8, 2020

It’s not enough to bolt technology onto an existing strategy and consider it transformed. Businesses are now faced with more data, and from more sources, than ever before. But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 trillion a year.

Digital Transformation 106

Digital Transformation Experimentation Unstructured Data Uncertainty 106