Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR GOOD.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Sisense

OCTOBER 6, 2020

All descriptive statistics can be calculated using quantitative data. It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

Domino Data Lab

APRIL 3, 2019

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Do you need faster time to value?

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Organizations using C360 achieved 43.9% faster time to market, and 19.1%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 144

Management Advertising Data Lake Sales 144

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. These datasets are pivotal for reporting and analytics use cases, powered by services like Amazon Redshift and tools like Power BI.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. 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. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

Data sources are crucial for reporting, analyzing, and acting on transactional and corporate data and connecting these sources in real time with various tools like connectors, ETL tools, mashups, Web services, and data source-neutral BI solutions is essential. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52