Smart Data Collective

SEPTEMBER 13, 2023

This real-time data has the potential to influence product development, marketing strategies, and even price. Data-driven decision-making not only decreases the likelihood of expensive errors but also maximizes the return on investment. Customer Surveys and Feedback Direct input from prospective clients is priceless.

Data Analytics 259

Data Analytics Data Analytics Supply Chain Real-time Data 259

Smart Data Collective

NOVEMBER 24, 2021

The thing is, previously data analytics was based on models that perpetually extended into the future; unfortunately, most of these models have become obsolete in today’s circumstances. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted. Implementing BI to overcome the crisis.

Data Analytics 321

Data Analytics Data Analytics Real-time Data Business Intelligence 321

Dataversity

JANUARY 26, 2021

In a recent report, Deloitte said the pandemic might be “the black swan event that finally forces many companies, and entire industries, to rethink and transform […]. The post Data Analytics Will Power a Transformation of Supply Chains in the Post-Pandemic Environment appeared first on DATAVERSITY.

Supply Chain 246

Supply Chain Data Analytics Data Analytics Real-time Data 246

The BAWorld

NOVEMBER 24, 2023

A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month. Formulates hypotheses to explain events: Diagnostic analytics involves formulating hypotheses about the root causes of events. Key Features: Real-time data analysis and sharing.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

Smart Data Collective

SEPTEMBER 13, 2019

This is done by installing sensors and utilizing the data to model the equipment performance. Once a model is established, the operation can use real-time data to predict when the machine will see a breakdown. With the ability to perceive a future event, the manufacturing line can appropriately plan a response.

Big Data 222

Big Data Supply Chain Data Analytics Data Analytics 222

Astera

JUNE 6, 2023

They are designed for streaming data sources, such as sensors, logs, or social media feeds. Real-time pipelines enable immediate analysis and response to emerging trends, anomalies, or events, making them critical for applications like fraud detection, real-time analytics, and monitoring systems.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

FEBRUARY 7, 2024

So, let’s explore them in detail: Zero ETL Components Real-Time Data Replication It is a fundamental component of zero-ETL. Organizations use real-time data integration technologies to facilitate the continuous flow of data from source systems to destination repositories.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Domo

DECEMBER 5, 2023

4—What problems keep happening, despite all your employee training and education? For Regional One Health, a recurrent problem was pressure ulcers, a type of “harm event.” Clinical leaders suddenly had accurate, real-time data they could use to coach their staff and take corrective action when needed. The result?

Skillset 105

Skillset Retail Real-time Data Finance 105

Smart Data Collective

NOVEMBER 6, 2019

What Kind of Data Do Smart Cities Store? All of these archival and real-time data adds up to enormous storage requirements. By 2025, close to one-third of this information will be real-time data. Some cities will require large quantities of archived data for analytical purposes. In the Cloud.

Real-time Data 199

Real-time Data Government Cloud Computing Data Management 199

Smart Data Collective

MAY 20, 2019

There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. They specifically help shape the industry, altering how business analysts work with data.

Cloud Computing 279

Cloud Computing IBM Support Big Data Real-time Data 279

Astera

JUNE 13, 2023

Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data. Initially, pipelines were rooted in CPU processing at the hardware level.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

ElegantJ BI

NOVEMBER 8, 2016

Real Time Cube Management provides crucial benefits to businesses trying to compete in a rapidly changing business landscape.” ” Consider the number of events happening right now that can and do affect your business. You may be running short of inventory at a time when customers want to buy a particular item.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

Real Time Cube Management provides crucial benefits to businesses trying to compete in a rapidly changing business landscape.” ” Consider the number of events happening right now that can and do affect your business. You may be running short of inventory at a time when customers want to buy a particular item.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

Real Time Cube Management provides crucial benefits to businesses trying to compete in a rapidly changing business landscape.” ” Consider the number of events happening right now that can and do affect your business. You may be running short of inventory at a time when customers want to buy a particular item.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

Actian

FEBRUARY 6, 2020

Organizations are being engulfed in a growing volume of data from a variety of sources. Some of the data is transactional, but most of it is what are called event streams – digital records of things taking place in the applications and devices that make up the IT ecosystem. What is Stream Data Integration?

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

Whizlabs

APRIL 4, 2021

Amazon Kinesis delivers significant features for the cost-effective processing of streaming data according to the desired scale. Amazon Kinesis helps in ingesting real-time data, including video, application logs, IoT telemetry data, audio, website clickstreams, and audio for analytics, machine learning, and a series of other applications. .

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Astera

FEBRUARY 14, 2024

It is about adapting technology to the evolving needs of the customer and improving the overall experience in the event of a claim. The Role of Unstructured Data in Car Insurance Claims Car insurance claims generate a lot of unstructured data, such as emails, photos, and PDFs.

Documentation 52

Documentation Digital Transformation Digital Real-time Data 52

Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately. Broader considerations.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

BizAcuity

MARCH 8, 2019

A growing number of organizations especially in the event management industry or sector are using workforce analytics to examine and act upon data about their people in the workplace. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment.

IBM cost 183

IBM cost IBM Support Predictive Analytics Real-time Data 183

Data Pine

MARCH 11, 2020

To serve up quality real time data, real time business analytics platforms leverage smart data storage solutions that empower users to gain access to up-to-the-minute insights in one centralized location and act accordingly. a) IT project management dashboard. click to enlarge**.

Business Intelligence 66

Business Intelligence Business Intelligence Real-time Data Retail 66

Astera

JUNE 13, 2023

Different Types of Data Pipelines: Batch Data Pipeline: Processes data in scheduled intervals, ideal for non-real-time analysis and efficient handling of large data volumes. Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Different Types of Data Pipelines: Batch Data Pipeline: Processes data in scheduled intervals, ideal for non-real-time analysis and efficient handling of large data volumes. Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Different Types of Data Pipelines: Batch Data Pipeline: Processes data in scheduled intervals, ideal for non-real-time analysis and efficient handling of large data volumes. Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Domo

NOVEMBER 7, 2016

It’s the perfect time to revisit some of the highlights from the event, especially Domo’s incredibly successful breakout sessions. It’s only been a few weeks since Dreamforce 2016 took place in San Francisco, but it seems like so much has happened in just a few short weeks!

Real-time Data 52

Real-time Data Innovation Big Data Business Intelligence 52

Domo

FEBRUARY 18, 2020

Business Intelligence (BI) Storytelling with Real-Time Data Doug Kramon of ESPN talks about how the “Worldwide Leader in Sports” is able to use the intelligence it gathers from viewers during a live sporting event and then, with the help of Domo, create a compelling post-event narrative that drives change and improves the fan experience.

Finance 52

Finance Healthcare Real-time Data Customer Experience 52

GAVS Technology

SEPTEMBER 13, 2021

This saves time and effort while contributing to Zomato’s fast delivery reputation. AIOps has sparked tremendous changes in how companies absorb large amounts of data. This has led to real-time data-based decisions and efficiency management. In such scenarios, AIOps contributes to service reliability.

Innovation 52

Innovation Healthcare Monitoring Logistics 52

Whizlabs

APRIL 12, 2021

The payload size for the event request body or asynchronous calls has a maximum limit of 128KB. Lambda function is the ultimate code & runtime that is meant to process the operational events. Mobile Apps- If you are building a custom mobile application for producing the events, the lambda function can be helpful for the same.

Monitoring 52

Monitoring Real-time Data Documentation 52

Domo

MARCH 15, 2021

While Domopalooza 2021 will technically only last one day, the free virtual event will provide ample opportunity for attendees to consume content well past the final session on March 24.

Healthcare 94

Healthcare Real-time Data Business Intelligence Business Intelligence 94

Smart Data Collective

SEPTEMBER 24, 2019

They can be used in many different ways to learn about customers and collect data. One example is through Instagram, which allows users to share photos, opinions, events, etc. Each will include advertising, interaction between customers and your business, research, and a lot more.

Big Data 187

Big Data User Experience Real-time Data Innovation 187

Domo

SEPTEMBER 8, 2020

From a simple page that provided real-time data on the number of cases and deaths in various regions of the world to the robust tool that it is now, the tracker has evolved a lot during its six-month lifespan, becoming more visually appealing and powerful with each iteration.

Real-time Data 52

Real-time Data Visualization Government Planning 52

Argon Digital

OCTOBER 24, 2023

Automation contributes to predictive analytics by utilizing historical data to identify likely future outcomes. These technologies analyze past financial information to detect patterns and trends, forecast future events, and even gauge uncertainties, thereby enabling businesses to anticipate potential future scenarios.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Tableau

JANUARY 31, 2022

Organizations adopting new data governance techniques are driving business transformation–but only if they strike the right balance between empowerment and control. We’ll share more in the report about how your organization can work toward sharing trusted, real-time data with self-service analytics for all. .

Artificial Intelligence 100

Artificial Intelligence Chief Data Officer Government Data Governance 100

Tableau

JANUARY 31, 2022

Organizations adopting new data governance techniques are driving business transformation–but only if they strike the right balance between empowerment and control. We’ll share more in the report about how your organization can work toward sharing trusted, real-time data with self-service analytics for all. .

Artificial Intelligence 98

Artificial Intelligence Chief Data Officer Government Data Governance 98

Smart Data Collective

SEPTEMBER 26, 2019

With Big Data, software developers are able to look into completed projects, extrapolate intel, and to create a platform upon which new projects can be built on. Aside from that, digital data integration helps companies make a strategic and meaningful adjustment which is key in sustaining a competitive culture. Software Testing.

Big Data 200

Big Data Banking Artificial Intelligence Cloud Computing 200

Astera

JANUARY 19, 2024

Provides robust data profiling and quality features. Provides workflow automation, CDC, real-time data preview, and parallel processing Pricing: Fair pricing structure with quote available on request. Support for various integration patterns such as event-driven web services, batch, streaming, and ETL integration.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Actian

FEBRUARY 24, 2020

If you want your business to be agile, you need to be leveraging real-time data. Converting streaming data into actionable insights is a process of incremental refinement – a value chain. If you want to survive and thrive in the fast-paced business environment, you need to be agile.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

Astera

FEBRUARY 2, 2024

Some common examples include: Online Registration Forms: Educational institutions, conferences, and events often use online registration forms to collect participant information. Form processing can automate data extraction like names, addresses, and contact details.

Healthcare 52

Healthcare Documentation Banking Data Quality 52