CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 116

Analytics Data Science Statistics Unstructured Data 116

O'Reilly on Data

MAY 14, 2020

The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.” According to VentureBeat , fewer than 15% of Data Science projects actually make it into production.

Management 363

Management Experimentation B2B Machine Learning 363

Cloudera

AUGUST 6, 2021

In reality, organizations live on a continuum, varying in how sophisticated their data is and the extents to which it influences management decisions. . Any article on what it means to be “Data Driven” makes references to Data Strategy, Data Culture and Decision Culture. Data Strategy. Conclusion.

Data-driven 104

Data-driven B2B Data Strategy Strategy 104

Cloudera

MARCH 29, 2022

With that in place, government IT leaders can then apply the kinds of rich data analytics that produce copious benefits, including more informed decision-making, greater transparency, greater efficiency, and reduced costs. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy.

Cost-Benefit 95

Cost-Benefit Strategy Data Science Data Processing 95

Smart Data Collective

JANUARY 26, 2021

Your data sources can also include looking at data from the sales process, such as demographic surveys, store inventory and POS data, and well as credit card monitoring – all in one or more languages. Using a Translation Company with Your Big Data Strategy. If it happens, technology can monitor it.

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

Juice Analytics

OCTOBER 1, 2018

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? But at Juice, we’re all about building data products. That’s an offensive data strategy (we’re with you Jack Dempsey, June Jones, Mike Leach, and Mike D’Antoni).

IT 69

IT Snapshot Consulting Data Strategy 69

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Ensure value with visualizations.

Unstructured Data 117

Unstructured Data Data-driven Visualization Data Quality 117

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

OCTOBER 12, 2021

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. Assess data risk and craft plans to mitigate that risk. Collaborate on data analysis across departments and roles.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. Data Science meets Climate Science.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

IBM Big Data Hub

AUGUST 7, 2023

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. This results in many groups using a large gamut of AI-based tools that are not fully integrated into a cohesive system and platform.

Optimization 56

Optimization Forecasting Data-driven Strategy 56