CIO Business Intelligence

MARCH 28, 2022

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data.

Consulting 121

Consulting Data Warehouse Machine Learning Dashboards 121

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Technology 133

Technology Data Warehouse Big Data Machine Learning 133

AWS Big Data

MARCH 27, 2024

Healthcare providers have an opportunity to improve the patient experience by collecting and analyzing broader and more diverse datasets. This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. We use on-demand capacity mode.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

CIO Business Intelligence

APRIL 25, 2022

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 114

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 114

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 96

Data Warehouse Testing Data Lake Data-driven 96

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

AWS Big Data

APRIL 4, 2024

With a wealth of experience in software development, architecture, and analytics across diverse sectors such as finance, telecom, retail, and healthcare, he brings invaluable insights to his role. He helps customers design & build scalable data analytics solutions and migrate data pipelines and data warehouses to AWS.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 73

Dashboards Data Warehouse Visualization Data Processing 73

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

CIO Business Intelligence

MAY 28, 2022

The partnerships, announced this week at the annual Informatica World conference, boost the capabilities of the company’s Intelligent Data Management Cloud (IDMC) and are in sync with the company’s recent data management product releases and previous partnerships with cloud software and service providers including AWS, Databricks and Snowflake.

Management 103

Management Data Warehouse Software Strategy 103

CIO Business Intelligence

MAY 27, 2022

The partnerships, announced this week at the annual Informatica World conference, boost the capabilities of the company’s Intelligent Data Management Cloud (IDMC) and are in sync with the company’s recent data management product releases and previous partnerships with cloud software and service providers including AWS, Databricks and Snowflake.

Management 103

Management Data Warehouse Software Strategy 103

IBM Big Data Hub

OCTOBER 16, 2023

In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data. Domain-specific foundation models can then be applied to new use cases, whether they are related to climate change, healthcare, HR, customer care, IT app modernization or other subjects.

Risk 77

Risk Modeling Management Metadata 77

Juice Analytics

DECEMBER 30, 2019

Dave has over 35 years of experience in project management, healthcare software, extensive information systems and analysis of information systems We asked Dave what he loved about Juice and what exactly made him believe in this company and help to champion Juice to others around the globe.

Data Warehouse 71

Data Warehouse Data Processing Consulting Software 71

CIO Business Intelligence

SEPTEMBER 8, 2022

As an industry, we have learned hard lessons from trying to deploy monolithic data warehouses, business intelligence implementations, and analytics solutions by gathering, cleaning, and preparing tremendous swaths of data from across the entire enterprise. Do not boil the ocean … we tried that … it did not work.

Machine Learning 111

Machine Learning Cost-Benefit Data-driven Digital Transformation 111

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Octopai

APRIL 4, 2022

If you have any other role in the healthcare industry – from nurse to administrator, from clinical researcher to pharmaceutical developer – the Hippocratic Oath is more of a curiosity than a commitment. Because we live in a century when caring for the health of humanity has turned from “healthcare” into “the healthcare industry.”

Metadata 92

Metadata Reporting Visualization Insurance 92

Cloudera

MAY 12, 2021

If you are working in an organization that is driving business innovation by unlocking value from data in multiple environments — in the private cloud or across hybrid and multiple public clouds — we encourage you to consider entering this category. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

CDW Research Hub

JULY 2, 2021

Cloud Pak for Security is an open platform for connecting and centralizing data from multiple sources, including IBM solutions, on-premises, private or public cloud, or third-party tools. GDP is a leading data security platform for databases and data warehouses. Better together.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

IBM Big Data Hub

JULY 5, 2022

Nedbank builds a scalable data warehouse architecture . Endless data but your queries aren’t fast enough. Empower real-time decision making and perform heavy computational analysis with built-in ML, insanely fast ingest, and querying of data in motion and at rest. Vektis improves healthcare quality through data .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Sisense

APRIL 1, 2020

Our reality has changed — from WFH and social isolation to tele-everything and healthcare capacity challenges, to mass reductions of flights and ever-shifting supply chains. I’ve met a healthcare company that is learning to optimize capacity and advance resource planning. They need nimble decision-making tools and empowered data teams.

Consulting 52

Consulting Dashboards Data Warehouse Optimization 52

CIO Business Intelligence

SEPTEMBER 8, 2022

Other experts agree that access to real-time data provides a variety of benefits, including competitive advantage, improved customer experiences, more efficient operations, and confidence amid uncertain market forces: “Business operations must be able to make adjustments and corrections in near real time to stay ahead of the competition.

Cost-Benefit 117

Cost-Benefit Internet of Things Data-driven Data Lake 117

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

APRIL 14, 2022

DaaS vendors can also improve the quality of data that an organization might otherwise gather itself by correcting errors or filling in gaps and even provide big blocks of data should you need more. In this way, DaaS providers can improve your homegrown data warehouse by cross-fertilizing it with other, curated sources.

Enterprise 137

Enterprise Marketing Measurement Reporting 137

Laminar Security

DECEMBER 13, 2023

They offer a comprehensive solution to enhance your cloud security posture and effectively manage your data. The primary focus of discovery is to find all the places where data exists and identify the assets it resides in. Laminar, a leading AI-driven data discovery and classification tool, exemplifies this transformation.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

erwin

JULY 2, 2020

Data Modeling with erwin Data Modeler. a technology manager , uses erwin Data Modeler (erwin DM) at a pharma/biotech company with more than 10,000 employees for their enterprise data warehouse. As a medical company, they receive data from 17 different health plans. George H., For Rick D.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

datapine

MARCH 31, 2022

For example, if you’re passionate about healthcare reform, you can work as a BI professional who specializes in using data and online BI tools to make hospitals run more smoothly and effectively thanks to healthcare analytics. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Andrew White

OCTOBER 22, 2021

Healthcare 4. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Automotive 1. Chemicals 1.

IT 52

IT Data Lake Strategy Data Science 52

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation. Amol Guldagad is a Data Analytics Consultant based in India.

Metadata 78

Metadata Testing Data Lake Consulting 78

IBM Big Data Hub

OCTOBER 16, 2023

. “The engagement with IBM taught us how to leverage our data in new ways and how to build a framework for creating and managing machine learning models,” said David Bautista, Director of Product Development at Change Machine. AI-enabled computer vision is often used to analyze mammograms and for early lung cancer screening.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Cloudera

MAY 10, 2018

With a limitless amount of data and an increased ability to harness it, organizations are able to tackle challenges in real-time that were previously impossible to solve. The 2018 Data Impact Awards will recognize business, technical, and special achievements in nine categories: Business Impact. Grow your business.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41