Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric. Better together.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. About the Authors Sandipan Bhaumik is a Senior Analytics Specialist Solutions Architect based in London, UK.

Data Warehouse 114

Data Warehouse Analytics Cost-Benefit Data Processing 114

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

Data Warehouse 109

Data Warehouse Machine Learning Data-driven Data Lake 109

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. DATA ANYWHERE. DATA SECURITY AND GOVERNANCE.

Machine Learning 56

Machine Learning Data Architecture IoT Data Warehouse 56

IBM Big Data Hub

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software.

Business Intelligence 62

Business Intelligence Enterprise Dashboards Forecasting 62

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

JANUARY 5, 2023

With the increase in demand for real-time data processing, streaming, and sharing, which power transformation into data-driven organizations, we anticipate more businesses investing in building adaptive AI systems that can ingest large amounts of data at frequent intervals and adapt to changes and variances quickly.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

JULY 2, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 103

Data Warehouse Sales Testing Big Data 103

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Cloudera

SEPTEMBER 7, 2023

3- Advanced AI Integration At this stage of adoption, financial institutions and insurance companies engage more intensively with AI and its capabilities, extracting more valuable insights from data. The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics.

Insurance 83

Insurance Risk Data-driven Finance 83

Cloudera

JANUARY 29, 2021

The right platform must have the ability to ingest, store, manage, analyze and process streaming data from all points in the value chain, combine it with Data Historians, ERP, MES and QMS sources, and leverage it into actionable insights. Lack of Clear ROI .

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

CIO Business Intelligence

MAY 21, 2024

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over.

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

Cloudera

JANUARY 17, 2021

Dynamic pricing based on predictive analytics based on weather, calendar and mountain load. The Need for a Modern Data Architecture. New revenue stream through a persona-based database can be monetized through co-marketing efforts. Pricing Optimization – . Pricing and offer timing. Gamification .

Digital Transformation 65

Digital Transformation Cost-Benefit Manufacturing Sales 65

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 108

Analytics Data Warehouse Dashboards Testing 108

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 79

Data Strategy Strategy Data Warehouse Prescriptive Analytics 79

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

Jet Global

MAY 1, 2023

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Diagnostic Analytics: No longer just describing. Now explaining why things happened (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. ML allows non-statisticians to leverage advanced and predictive analytics to detect hidden patterns and correlations in data, increasing the depth of analyses conducted. .

Reporting 59

Reporting Optimization Enterprise Data Quality 59