Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Deliver use cases to market.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

CIO Business Intelligence

SEPTEMBER 22, 2023

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. DMP vs. CDP Lately a cousin of DMP has evolved, called the customer data platform (CDP).

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

MARCH 19, 2025

Additionally, CDOs should work closely with sustainability officers to align data collection and reporting processes with ESG goals, ensuring transparency and accountability. Beyond environmental impact, social considerations should also be incorporated into data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

IBM Big Data Hub

NOVEMBER 14, 2023

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. To further complicate things, the data can also be in multiple “languages”.

Dashboards 235

Dashboards Interactive Reporting KPI 235

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Data Science 101

NOVEMBER 8, 2023

What type of data science work did you do? I was definitely more in the analytics space than I ever was the data science space specifically. There’s a whole host of research out there about how much higher the bar often has to be for women to be promoted than men. I did mine through UCSD Extension.

Data Science 59

Data Science Visualization Management Data Processing 59

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 121

Metadata Modeling Data Processing Unstructured Data 121

CIO Business Intelligence

AUGUST 15, 2023

Whether a project aims to improve suicide prevention using data science or to create new revenue streams by reimagining an organization’s core business, CIO 100 Award winners demonstrate the innovative spirit of today’s IT in the face of rapidly evolving organizational challenges.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Data Science and Beyond

JUNE 2, 2017

Last year, I wrote about the Reef Life Survey (RLS) project and my experience with offline data collection on the Great Barrier Reef. Since publishing that post, I have improved the flashcards and built a tool for exploring the aggregate survey data. The RLS manual includes all the details on how surveys are performed.

Data Collection 58

Data Collection Testing Data Processing Publishing 58

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Cost-optimization and ease-of-use .

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. Better Data Culture. Good data warehouses should be reliable.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

bridgei2i

JANUARY 25, 2022

In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike. I’m your host Shivalika Singh, and I’m an ML engineer at BRIDGEi2i.

Machine Learning 52

Machine Learning Data Processing Modeling Enterprise 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. We write about data and analytics.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. What is the right size for a governance committee to ensure efficiency and create good data definitions?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Let’s look through some antidotes. Machine learning model interpretability. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. In this case, the scale is not measuring the construct that interests us.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Andrew White

MARCH 31, 2023

A workshop that helps diagnostically map specific data to specific business outcomes. I hosted 25 1-1s in between the meetings and presentations. They included data management, analytics and data science, AI and ML, governance and MDM, as well as AI, ML and more. It was an impressive display. But is it too much?

Analytics 40

Analytics Marketing Data-driven Visualization 40