CIO Business Intelligence

JANUARY 9, 2023

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] Imagine a factory or a chain of retailers reducing energy and cutting equipment downtime. These scenarios are not imaginary.

IoT 126

IoT Internet of Things Cost-Benefit Digital Transformation 126

CIO Business Intelligence

MAY 21, 2024

One of the first things they needed was an IoT device that could be plugged into the cars to gather and transmit the data. So Morrone and his engineers no longer need to rely on drivers reading indicators on their dashboards and passing along information.

Broadcasting 121

Broadcasting Recreation/Entertainment Manufacturing Data Lake 121

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence. We Couldn’t Get the Answers”.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

datapine

NOVEMBER 19, 2019

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative business intelligence to learn more about how they help companies.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. Let that sink in.

Reporting 115

Reporting Analytics IT Data Lake 115

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. The smart sensor application solution must be already deployed in the same AWS account and Region that you will use for the dashboards.

Dashboards 82

Dashboards Statistics Data Collection Business Intelligence 82

CIO Business Intelligence

JUNE 20, 2022

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

SEPTEMBER 7, 2022

The second layer, Data Hub, can ingest data from a variety of sources including on-farm devices, drones, IoT devices and satellites. Agriculture businesses and farmers can use the hub to access structured and contextualized data from various sources for correlation and analysis at scale, the company said.

B2B 104

B2B Contextual Data IoT Deep Learning 104

CIO Business Intelligence

MAY 6, 2022

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.

Manufacturing 140

Manufacturing Analytics Machine Learning IoT 140

AWS Big Data

MARCH 7, 2023

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. This helps you process real-time sources, IoT data, and data from online channels.

Analytics 75

Analytics Data Warehouse Data Lake Metadata 75

CIO Business Intelligence

JUNE 16, 2022

Because of this, BPM tools can be conceived of as a nexus that sucks in data from an array of business applications, tracking everything that happens in a given business process — what some have come to describe as “building a digital twin.”. Dashboards help users plan their tasks and avoid falling behind.

Management 119

Management Insurance Software Digital Transformation 119

Smart Data Collective

JUNE 16, 2022

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. They are using analytics to help drive business growth.

Business Analytics 122

Business Analytics Analytics Forecasting Business Analysis 122

CIO Business Intelligence

NOVEMBER 29, 2023

At the same time, Gerresheimer is building an IoT platform. “In Users can automatically create dashboards, order software, and manage installations, for example, that cloud resources can book. “We “Over the next three years, all 54 locations will gradually migrate to this cloud environment,” he says.

IT 105

IT Data Lake Strategy IoT 105

CIO Business Intelligence

JUNE 16, 2022

IT teams grapple with an ever-increasing volume, velocity, and variety of data, which pours in from sources like apps and IoT devices. At the same time, business teams can’t access, understand, trust, and work with the data that matters most to them.

IT 135

IT Experimentation IoT Data-driven 135

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. The biggest challenge for businesses is to navigate to the future that needs real-time business intelligence. What are the advantages of Streaming Analytics?

Analytics 94

Analytics Unstructured Data IoT Visualization 94

erwin

JUNE 11, 2020

Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

MAY 23, 2022

Then maybe we can have a dashboard that looks at anomalies on spot-checking. The Houston-based oil and gas engineering company has developed a number of sustainability products to meet the needs of its energy customers, thanks to its Digital Innovation Center in India, which started more than three years ago. On the horizon.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

Jet Global

JULY 2, 2019

This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios. Build your Business Intelligence Infrastructure on a Solid Foundation. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 87

Visualization Metadata Testing Internet of Things 87

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. That being said, it is evident that artificial intelligence won’t leave the IT buzzwords’ lists any time soon.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 28, 2023

SAP was selected based on its technological capabilities and compatibility with Petrosa’s business case. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.

Digital Transformation 119

Digital Transformation Internet of Things Dashboards IoT 119

AWS Big Data

OCTOBER 26, 2023

High-concurrency workloads – A growing use case we see is using Amazon Redshift to serve dashboard-like workloads. The prototypical example of this is an Amazon Redshift-backed BI dashboard that has a spike in traffic Monday mornings when a large number of users start their week. The results are shown in the following chart.

Data Warehouse 99

Data Warehouse Cost-Benefit Dashboards Optimization 99

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 97

Data-driven Data Lake Data Warehouse Cost-Benefit 97

Smart Data Collective

DECEMBER 2, 2020

With the widespread implementation of the IoT (Internet of things), these databases might be understood on both small and large scales. According to mentioned before IoT, this might be useful in any household, where e.g. the house is controlled via intelligent systems. And any information that needs an immediate interpretation.

Interactive 116

Interactive Visualization Big Data IoT 116

CIO Business Intelligence

JULY 17, 2023

How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI? Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics.

IT 98

IT Digital Transformation IoT Internet of Things 98

CIO Business Intelligence

AUGUST 15, 2023

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data. Anu Khare / Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

JANUARY 23, 2024

For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. Faster decision-making can impact sales, for example, when retail managers use dashboards to change product placements and pricing based on local conditions.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

CIO Business Intelligence

MAY 25, 2022

Autodesk’s Upchain is a cloud-based product data management and product lifecycle management software that targets small and midsize companies with built-in workflow management and project dashboards. Oracle’s Fusion Cloud PLM platform leverages analytics, IoT, AI, and ML to deliver digital twin and digital thread capabilities.

Management 105

Management Manufacturing Cost-Benefit IoT 105

CIO Business Intelligence

NOVEMBER 29, 2022

Reducing complexity is particularly important as building new customer experiences; gaining 360-degree views of customers; and decisioning for mobile apps, IoT, and augmented reality are all accelerating the movement of real-time data to the center of data management and cloud strategy — and impacting the bottom line.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

CIO Business Intelligence

AUGUST 23, 2023

Plants now need the same infrastructure resilience as business operations. IoT in the production lines creates a lot of data. In one of our businesses, we’ve begun to take manufacturing data almost real-time and move it into our cloud analytics platform. Where do we store and use that data? Does it go to the cloud?

Manufacturing 92

Manufacturing Data Processing Strategy IoT 92

Sisense

MARCH 13, 2019

You may want to tailor functions accordingly with customized content or dashboards, and you may even want to create a white-label mobile app. Will your platform enable me to embed analytics into my users’ day-to-day workflow with IoT devices like Amazon Echo, chatbots, and smart devices, to go beyond traditional modes of consumption?

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

CIO Business Intelligence

MAY 27, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing.

Insurance 98

Insurance Machine Learning Digital Transformation Cost-Benefit 98

Sisense

MAY 11, 2021

To support these advanced use cases, data was structured in Cloud Data Teams by Sisense (formerly Periscope Data) to simplify SQL queries on dashboards by creating varying levels of granularities in tables visible to the tool. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 21, 2023

The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs. Data marts are ephemeral views that can be implemented directly on top of the business and raw vaults.

Data Warehouse 68

Data Warehouse Data Lake Cost-Benefit Modeling 68