Actian

FEBRUARY 19, 2019

Companies have learned a lot about how to eliminate waste, achieve consistency and empower employees to proactively solve issues, but all these efforts have been constrained by the availability of real-time data for decision making. Real-time data leads to faster and more accurate optimization efforts.

Real-time Data 40

Real-time Data Supply Chain Data Warehouse Monitoring 40

Smart Data Collective

SEPTEMBER 19, 2022

Data analytics fintech provides crucial information financial institutions need to build a robust risk assessment strategy. To ensure their customers have a satisfactory experience, financial businesses will use big data analytics to tweak their services across various platforms to suit a customer’s needs.

Customer Experience 317

Customer Experience Customer Experience Big Data Banking 317

Smart Data Collective

NOVEMBER 24, 2021

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. In this article, we’ll take a closer look at why companies should seek new approaches to data analytics. Hypothesis definition.

Data Analytics 315

Data Analytics Data Analytics Real-time Data Business Intelligence 315

Smart Data Collective

SEPTEMBER 13, 2023

Welcome to 2023, the age where screens are more than mere displays; they’re interactive communication portals, awash with data and always hungry for more. These displays are changing dynamically, reflecting real-time data.

Big Data 277

Big Data Digital Retail Real-time Data 277

Smart Data Collective

MARCH 30, 2022

Companies are using big data in countless aspects of their business models, including the procurement processes. billion on supply chain data analytics in 2026. By 2027, organizations are expected to spend around $103 billion on big data. This statistic alone shows the importance businesses place on smart data access.

Procurement 233

Procurement Supply Chain Real-time Data Big Data 233

Smart Data Collective

MARCH 15, 2022

Companies around the world are expected to spend over $25 billion on financial analytics by 2028. Large financial institutions aren’t the only ones being impacted by big data. Small businesses are also using data analytics to improve their own finances. Data analytics has made it a lot easier to handle taxes.

Big Data 226

Big Data Finance Data Analytics Data Analytics 226

Smart Data Collective

NOVEMBER 11, 2020

Every aspect of golf in the modern form is being transformed through data analysis, cloud technologies, machine learning, and scientific advances. Golf has since embraced data analytics to provide enjoyment to the game and a deeper understanding. A lot of changes have come about due to data analytics in the golf profession.

Big Data 205

Big Data Data Analytics Data Analytics Real-time Data 205

Smart Data Collective

JUNE 15, 2022

Such software provides you with real-time data and behavioral insights about the people who live and travel near specific retail locations. . By observing how different techniques function in real-time, data analysis may assist support diverse product placement methods. Reduce customer acquisition expenses.

Retail 239

Retail Real-time Data Customer Experience Customer Experience 239

Smart Data Collective

AUGUST 30, 2022

Companies must take advantage of the information about their customers to stay updated and respond in real-time for quick decision-making. Cloud computing ( [link] ) can be used to support real-time data streams for better business decision-making. Big data analytics.

Cloud Computing 329

Cloud Computing Data Mining Real-time Data Big Data 329

Smart Data Collective

JUNE 3, 2021

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Claims management : Data analytics and machine learning are particularly helpful with insurance claims management.

Data Analytics 244

Data Analytics Data Analytics Big Data Banking 244

Fingent

APRIL 7, 2022

Data is the very foundation of insurance operations. Until the introduction of modern data analytics technologies, insurers used to make decisions based on the insights garnered from historical data.

Digital 98

Digital Cloud Computing Real-time Data Data Analytics 98

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies.

Data Mining 321

Data Mining Data Analytics Data Analytics Real-time Data 321

Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes.

Data Warehouse 329

Data Warehouse Big Data Business Intelligence Business Intelligence 329

Phocas

MARCH 17, 2019

Real-time data analysis delivers key business insights so people can create informed business strategies. Analytics can provide numerous benefits such as cost-efficiency, increased productivity, and keep you feeling in control.

Data Analytics 63

Data Analytics Data Analytics Real-time Data 63

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. Integrated ERP makes eCommerce easier to manage for a business’s staff.

E-Commerce 262

E-Commerce Supply Chain Retail Logistics 262

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

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 250

Predictive Analytics Big Data Banking Real-time Data 250

Smart Data Collective

JUNE 7, 2019

Stream processing is a platform allowing organizations to enforce rules and procedures to examine and analyze real-time data. In other words, it enables your business to review the data in all stages, such as where it has been, in motion, and where it’s going. Development of new products and optimization of offerings.

Big Data 201

Big Data Real-time Data Data Warehouse Innovation 201

Smart Data Collective

SEPTEMBER 13, 2019

By using machine data along with other area data, the operation can truly understand the health and performance of its machines. This is done by installing sensors and utilizing the data to model the equipment performance. Replacing before breakdown is not the only outcome of data analytics. Longer Life of Assets.

Big Data 219

Big Data Supply Chain Data Analytics Data Analytics 219

Smart Data Collective

DECEMBER 1, 2022

The Rise of Streaming Analytics. Streaming analytics is a new trend in data analysis that has been gaining popularity in the past few years. It is based on the idea that real-time data can be analyzed as it comes in rather than waiting until all the data has been collected.

Big Data 347

Big Data Artificial Intelligence Cloud Computing Healthcare 347

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 278

Cloud Computing IBM Support Big Data Real-time Data 278

Smart Data Collective

MARCH 28, 2021

It is an Internet of Things (IoT) platform that promotes the creation of a digital representation of real places, people, things, and business processes. These digital presentations are built from real-time data either in pure form or 3D representations. This is a game-changer in industrial IoT applications.

Cloud Computing 345

Cloud Computing Customer Experience Customer Experience Monitoring 345

Dataversity

MAY 14, 2021

For many enterprises, conversations regarding data strategies have shifted from discussing big data to fast data. The ability to understand and act on real-time data insights – often adding the context from historical data – has become a critical differentiator for firms in almost every industry sector […].

Real-time Data 130

Real-time Data Big Data Data Analytics Data Analytics 130

Whizlabs

APRIL 4, 2021

It is the data analytics service offered by Amazon Web Services and is available as a fully managed and highly scalable platform for data streaming applications on AWS. Amazon Kinesis delivers significant features for the cost-effective processing of streaming data according to the desired scale. Kinesis Data Analytics.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Data Pine

MARCH 11, 2020

But, while data offers us invaluable insight in more ways than one, with so much to analyze and such little time, it’s becoming increasingly difficult to understand which metrics offer real value. As such, we have to find approaches to data analytics and business intelligence. a) IT project management dashboard.

Business Intelligence 66

Business Intelligence Business Intelligence Real-time Data Retail 66

Smart Data Collective

FEBRUARY 6, 2020

Criteo has talked about some of these breakthroughs with machine learning and personalization , which include a greater availability of real-time data and ability to mine and process it more quickly. The difference is that big data technology has made email more powerful than ever. Look at it from a creative angle.

Big Data 284

Big Data Digital Real-time Data Customer Experience 284

BizAcuity

APRIL 19, 2019

Rooted in a comprehensive and proactive approach to real-time data analytics we aggregated player lifetime and frequency metrics and computed them to predict and analyse problem gaming behaviours or trends in players.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Cprime

JULY 20, 2023

IoT devices generate real-time data for AI applications. Data analytics fuels insights and informs agile decision-making. AI for Agile decision-making and automation AI enhances Agile decision-making by providing data-driven insights, predictive analytics, and intelligent automation capabilities.

Digital 75

Digital Agile Digital Transformation Artificial Intelligence 75

BizAcuity

MAY 16, 2022

Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Smart Data Collective

MAY 19, 2021

Nevertheless, the business logic of a smart home app still has to be written from the ground up.

Artificial Intelligence 260

Artificial Intelligence Cloud Computing Real-time Data Data Analytics 260

Smart Data Collective

JULY 10, 2019

One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. More than 15,000 hospitals around the world collect real-time data on their patients.

Healthcare 176

Healthcare Big Data Pharmaceutical Digital 176

ElegantJ BI

NOVEMBER 8, 2016

Businesses must reach to real time events but, without real time analysis, the business team is helpless to capitalize on opportunities or address challenges or issues. ” About ElegantJ BI ElegantJ BI is a flagship BI solution by Elegant MicroWeb, powered by unique Managed Memory Computing technology.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

Businesses must reach to real time events but, without real time analysis, the business team is helpless to capitalize on opportunities or address challenges or issues. ” About ElegantJ BI ElegantJ BI is a flagship BI solution by Elegant MicroWeb, powered by unique Managed Memory Computing technology.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

Businesses must reach to real time events but, without real time analysis, the business team is helpless to capitalize on opportunities or address challenges or issues. ” About ElegantJ BI.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

Cprime

FEBRUARY 6, 2024

– Core competencies include strategic product management, user experience and design thinking, technical agility, cross-functional collaboration, data analytics and decision-making, and leadership and change management. What are the core competencies needed for a product-centric approach?

Agile 91

Agile Innovation Product Management Product Management 91

Domo

AUGUST 18, 2017

By working with a real-time data platform like the Domo business cloud , sales organizations can get the information they need to confidently predict whether they will hit their targets. Here are three ways better data analytics can make your sales team more effective than ever before: 1. Click here to see a demo.

Real-time Data 52

Real-time Data Data Visualization Data Analytics Data Analytics 52

Domo

MARCH 23, 2022

The problem is, few organizations commit to more than just capturing, storing, and having access to data. In fact, when asked, “How much of your org takes advantage of insights derived from data analytics or BI?”, the top response was “40-60%”. In short: a variety of challenges. This ensures usability. The ideal solution.

Artificial Intelligence 98

Artificial Intelligence Digital Transformation Real-time Data Vision 98