AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

AWS Big Data

MAY 3, 2023

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core. Walkthrough overview The producer of this solution is AWS IoT Core, which sends out messages into a topic called gps.

IoT 103

IoT Internet of Things Data Transformation Management 103

CIO Business Intelligence

MARCH 25, 2022

It will become a central hub where workers can engage in rich collaboration experiences, build rapport with their colleagues, connect with the workplace culture, and enhance their ability to help their employer achieve its business objectives. This provides an optimal working environment to be maintained, and energy to be conserved.

Machine Learning 52

Machine Learning Consulting IoT Business Objectives 52

CIO Business Intelligence

JULY 24, 2023

But Donagh Herlihy , the company’s chief digital and information officer, has a corporate-level solution to help each individual store determine “the sweet spot of pricing” to optimize profitability for that restaurant. Co-creating with their business unit colleagues. Schadler says not all CIOs are empowered to do that work.

IT 98

IT Sales Business Objectives Marketing 98

Alation

MAY 12, 2022

Data governance in manufacturing, when done well, can then accelerate time-to-market, increase efficiencies, optimize operational performance, improve the customer experience , and expose opportunities up and down the supply chain. Centralize, optimize, and unify data. Difficulties optimizing the global supply chain. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Cloudera

NOVEMBER 25, 2021

At the heart of our multi-year, strategic partnership with AWS is enabling businesses to harness the power of both data and cloud. We have a joint vision to support acceleration, cost optimisation, and optimal experiences for cloud adoption to businesses across every industry. .

Machine Learning 86

Machine Learning IoT Risk Digital Transformation 86

IBM Big Data Hub

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Or are you looking to accelerate business transformation by leveraging cloud-native technologies like containers and microservices to optimize and modernize your workloads?

Strategy 104

Strategy Cost-Benefit Digital Transformation Optimization 104

IBM Big Data Hub

DECEMBER 11, 2023

Enterprise-level businesses rely on hybrid cloud solutions to run critical workloads from anywhere by combining and unifying on-premises, private cloud and public cloud environments. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.

Cost-Benefit 112

Cost-Benefit Data Processing Strategy Software 112

FineReport

APRIL 11, 2023

Define your objectives : Ensure that the business objectives you intend to analyze, measure, and optimize are well-defined. Operational dashboards feature data on various aspects of business operations and processes, such as IoT device power consumption.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

IBM Big Data Hub

AUGUST 30, 2023

It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs.

Data Processing 75

Data Processing Cost-Benefit Internet of Things Enterprise 75

Sisense

MAY 11, 2021

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Rocket-Powered Data Science

JULY 21, 2023

Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective. This is a physical device, in the IoT (Internet of Things) family of sensors, that collects and streams data from the edge (i.e.,

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

CIO Business Intelligence

JANUARY 20, 2023

Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2] Along the way, they will have implemented upgrades that keep data secure and accessible—imperatives for meeting IT and business objectives in the months and years to come.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

FineReport

MARCH 31, 2024

Data-driven Decisions: BI tools empower businesses to make informed decisions by furnishing actionable insights, optimizing operations, and uncovering growth opportunities. Sisense streamlines data analysis through embedded IoT and machine learning, enabling rapid data-to-dashboard transformations.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52