Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company.

Big Data 79

Big Data Internet of Things IoT B2B 79

Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

AWS Big Data

MAY 23, 2023

2022 , with Apache Flink, and provide a working example that will help you get started on a managed Apache Flink solution using Amazon Kinesis Data Analytics. It supports ingestion, manipulation, and delivery of data to the desired destinations. A Flink program can be implemented in Java, Scala, or Python.

Data Analytics 90

Data Analytics Analytics Visualization Key Performance Indicator 90

Timo Elliott

DECEMBER 11, 2018

These are some quick answers to some common questions I get about Business Intelligence, Big Data, and Analytics: Big Data. It’s clear that data is one of the most important assets of the future. All of these things require data and analytics. Data analyses can improve lives.

Big Data 106

Big Data Analytics IT Internet of Things 106

Sisense

JUNE 25, 2020

Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Becoming data-driven has always been about more than just convenience, and ‘how do we sell more product?’ Jon Francis, SVP Data Analytics, Starbucks.

Big Data 98

Big Data Data-driven IoT Marketing 98

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. Doxee has a great article on some of the profound benefits of big data in retail distribution.

B2B 108

B2B Sales Big Data Cost-Benefit 108

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

APRIL 24, 2019

Investing in analytics isn’t something to take lightly, but companies that do it well can set themselves up for success they didn’t even know was attainable. Who’s Using Analytics in Manufacturing? Broadly speaking, big data analytics is your company’s ticket to efficiency and productivity improvements.

Analytics 99

Analytics Manufacturing Cost-Benefit Internet of Things 99

AWS Big Data

MAY 30, 2023

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 77

Data Lake Data Analytics Analytics Data Processing 77

erwin

JUNE 11, 2020

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Risk Management 71

Risk Management Risk Management Big Data 71

AWS Big Data

MAY 3, 2023

In this post, we provide a detailed overview of streaming messages with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon ElastiCache for Redis , covering technical aspects and design considerations that are essential for achieving optimal results. We also discuss the key features, considerations, and design of the solution.

IoT 104

IoT Internet of Things Data Transformation Management 104

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. AI-Powered Big Data Technology. Predictive Business Analytics. General-Audience AI Tools.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Cloudera

SEPTEMBER 8, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing.

IoT 68

IoT Internet of Things B2B Data-driven 68

AWS Big Data

MARCH 20, 2024

When integrated with Lambda, it allows for serverless data processing, enabling you to analyze and react to data streams in real time without managing infrastructure. In this post, we demonstrate how you can process data ingested into a stream in one account with a Lambda function in another account.

Internet of Things 107

Internet of Things IoT Manufacturing Data Processing 107

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. Supply chain optimization : Oil and gas supply chains are very complex.

Technology 59

Technology Cost-Benefit Optimization Internet of Things 59

IBM Big Data Hub

JUNE 20, 2023

By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Put simply, it’s about fixing things before they break.

Strategy 80

Strategy Management Cost-Benefit IoT 80

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data.

Forecasting 73

Forecasting Management IoT Data-driven 73

IBM Big Data Hub

FEBRUARY 23, 2024

It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. Optimal for handling repetitive, straightforward queries, they are best suited for businesses with simpler customer interaction requirements.

Enterprise 108

Enterprise Interactive Data-driven Key Performance Indicator 108

IBM Big Data Hub

JANUARY 8, 2024

3 reasons why digital transformation is tied to business strategy A digital transformation journey involves the introduction of new technologies—and business processes related to those technologies—to optimize customer experience and improve relationships with other stakeholders.

Digital Transformation 68

Digital Transformation Strategy Key Performance Indicator Cost-Benefit 68

Sisense

JANUARY 13, 2020

Modern factories are full of machines, sensors, and devices that make up the Internet of Things. All of them generate a trail of performance-tracking data. The challenge for manufacturers is to capture all this data in real-time and use it effectively. How data enhances product development.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

Analytics 94

Analytics IoT Metadata Internet of Things 94

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 80

Manufacturing Technology Internet of Things Cost-Benefit 80

Cloudera

SEPTEMBER 11, 2018

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. By implementing edge analytics and machine learning inferencing at the edge, predictions can be made and decisions can be executed in real-time. The IoT integration hub.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. About the Authors Vivekanand Tiwari is a Cloud Architect at AWS. Subramanya Vajiraya is a Sr.

Management 76

Management Metadata Testing Internet of Things 76

IBM Big Data Hub

JUNE 29, 2023

Digital twin technology uses Industrial Internet of Things (IIoT) sensors, machine learning and simulation software to collect product data and generate accurate models. Teams can then use the models to predict maintenance needs, simulate changes to the system and optimize processes (e.g.,

Manufacturing 60

Manufacturing Internet of Things Digital Transformation Optimization 60

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

Software 76

Software Manufacturing Cost-Benefit ROI 76

IBM Big Data Hub

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. Hybrid cloud – The hybrid cloud environment creates a single, optimal cloud for public cloud private cloud and on-premises infrastructure. million km.

Digital Transformation 76

Digital Transformation Consulting Internet of Things Recreation/Entertainment 76

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. filling in nulls, changing time zones, formatting strings, conditional logic, etc.)

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

AUGUST 8, 2023

Large organizations are comprised of many assets that require continuous monitoring to ensure optimal productivity. EAM systems are a combination of advanced analytics, management tools and services that work together to maintain (or control) the performance of operational assets.

Software 55

Software Enterprise Management Cost-Benefit 55

IBM Big Data Hub

FEBRUARY 6, 2024

A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization.

Cost-Benefit 112

Cost-Benefit Digital Transformation Software Modeling 112

Sisense

JUNE 9, 2021

Gleaning actionable intelligence from disparate data sources. Football teams rely on huge amounts of data drawn from countless sources to take their play to the next level: Internet of Things sensors and other devices connected to the internet use GPS to track players and the ball’s movement in real time.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98