Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. But are you paying attention to all of your data?

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

CIO Business Intelligence

APRIL 4, 2023

Operationalizing AI at scale mandates that your full suite of data–structured, unstructured and semi-structured get organized and architected in a way that makes it useable, readily accessible and secure. In one Forrester study and financial analysis, it was found that AI-enabled organizations can gain an ROI of 183% over three years.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. This results in both increased ROI and much faster time to market. Watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. Successfully capitalising on the data opportunity requires a whole-of-business approach. Gaining Executive Buy-In.

Risk 87

Risk Data Lake Marketing Interactive 87

Ontotext

AUGUST 4, 2023

Using metadata, machine learning (ML), and automation, a data fabric provides a unified view of enterprise data across data formats and locations. It enables data federation and virtualization as well as seamless access and sharing in a distributed data environment.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

FEBRUARY 20, 2020

Following an unprecedented summer of accolades that have helped establish Alation as the leader in emerging data catalog category, we are in the midst of a nine-show tour. Alation launched its MLDC World Tour at the Strata Data Conference in New York with a big bang! In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. On January 4th I had the pleasure of hosting a webinar. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52