Apiumhub

MARCH 18, 2021

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. Business analytics is simply about using data to generate insights.”.

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Datavail

MARCH 3, 2022

For eons, humans have gathered data to help them make sense of the world. That quest for information has evolved from studying the patterns of star systems to studying patterns found in the vast quantities of immense data lakes. The tools used to gather and investigate data have evolved, too. Business Intelligence = Analytics.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Machine Learning 52

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 284

Artificial Inteligence Data Artificial Intelligence Analytics 284

CIO

MARCH 31, 2022

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO.

Data 335

Data Analytics Survey Government 335

Confluent

OCTOBER 31, 2023

Empower your data analysts with real-time AI and data streaming so they can make better decisions, faster.

Artificial Inteligence 75

Artificial Inteligence Artificial Intelligence Business Analytics Analytics 75

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles.

Business Intelligence 363

Business Intelligence Business Analytics Analytics Analysis 363

Dell EMC

JANUARY 4, 2022

For data-driven businesses, analytics is the path to better understanding and serving customers — and Dell Technologies APEX solutions offer an easy way forward.

Analytics 96

Analytics Data Business Analytics Technology 96

Dataiku

JANUARY 29, 2021

While the earliest known use of the term “business intelligence” (BI) dates back to 1865 , it wasn’t until nearly a century later that computer scientist Hans Peter Luhn — known today as the “Father of Business Intelligence” — released a paper “A Business Intelligence System” that began to really identify and break down technology’s role as an enabler (..)

Business Analytics 120

Business Analytics Analytics Business Intelligence Data 120

CTOvision

JUNE 24, 2014

Editor’s note: The Pentaho approach to business analytics and data integration works well with existing legacy approaches to data and every new big data capability we have seen. Pentaho Equips Companies to Easily Scale Big Data Operations, Regardless of IT Resources. By Bob Gourley. From: [link].

Business Analytics 105

Business Analytics Analytics Enterprise Big Data 105

Cloudera

JANUARY 24, 2023

UBL needed a superior data platform to handle the increasing volume and improve the business With UBL’s growing success, the bank needed to accommodate its growing volume of data. To this end, UBL embarked on a data analytics project that would achieve its goals for an improved data environment.

Banking 79

Banking Analytics Data Leadership 79

CIO

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. Amazon, Capgemini, and IBM.

Analysis 245

Analysis Business Analytics Agile Analytics 245

TechCrunch

OCTOBER 11, 2022

Hamman , who previously worked at the National Center for Atmospheric Research, also foresaw how data tools could begin to change the field. The business world was benefiting from a slew of new tools that worked well for their data types. But none of those really exist for scientific data,” he said.

Tools 203

Tools Data Open Source Business Analytics 203

CIO

OCTOBER 17, 2023

Pillar 2: Data protection It only takes a few clicks for sensitive data to fall into the wrong hands—that’s why protecting data in the cloud requires a modern approach. With AI-powered discovery and classification, Zscaler continuously scans data in motion and at rest, including data residing in SaaS and private applications.

Security 354

Security Airlines Data Center Architecture 354

CIO

OCTOBER 6, 2023

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. Washington, D.C.,

Technical Advisors 321

Technical Advisors Analysis Analytics Budget 321

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake. This is not just a problem at Sisense.

Data 253

Data Big Data Analytics Enterprise 253

InfoWorld

JUNE 25, 2024

The ability to index, query, and analyze large amounts of data from real-time sources remains a major headache for anyone involved in building database systems. Data retrieval takes time and even that assumes that the nature of the queries lie within certain parameters.

ChatGPT 73

ChatGPT Artificial Intelligence Artificial Inteligence Data 73

Perficient

JUNE 14, 2024

Importance of Product Data in Driving Sales When you don’t have a storefront and a salesperson to do the talking, your product content has to be rich. PIM Analytics can be important tool in your toolkit to make sure your product content is working as intended. In an Omnichannel environment, the risk of insufficient data is significant.

Analytics 52

Analytics Tools Technical Review Metrics 52

Existek

NOVEMBER 21, 2023

Analytics has become an integral part of business over the recent years. But how is AI revolutionizing analytics across different domains? Let’s check this article focusing on AI analytics and how to leverage it to your advantage. List of the Content What is AI analytics?

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Newgen Software

NOVEMBER 17, 2022

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust BPM based analytics platform. Why Analytics?

Analytics 52

Analytics Business Analytics Big Data Culture 52

CEO Tech Tips

APRIL 7, 2022

A data driven organization is an organization that has the capability to collect and refine data and find ways to use the minded information to drive growth and profitability. Companies like Netflix, Google, Coco-Cola, and Uber are using business intelligence to assist in making logical decisions with high probability of success.

Analytics 52

Analytics Organization Data How To 52

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).

Big Data 103

Big Data Analytics Groups Data 103

CIO

MARCH 4, 2021

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

Artificial Inteligence 246

Artificial Inteligence Artificial Intelligence Machine Learning Business Analytics 246

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Perficient

FEBRUARY 22, 2024

A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems.

Virtualization 52

Virtualization Enterprise Data Analytics 52

Newgen Software

FEBRUARY 6, 2024

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust Business Process Management (BPM) based analytics platform.

Analytics 52

Analytics Analysis Organization System 52

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. And Cloudera is at the heart of enabling these real-time data driven transformations. .

Analytics 99

Analytics Airlines Off-The-Shelf Insurance 99

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

Big Data 86

Big Data Data Artificial Intelligence Artificial Inteligence 86

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 y42 founder and CEO Hung Dang.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

TechCrunch

AUGUST 2, 2022

” Arena clients feed the platform data like SKU-level sales, pricing, inventory at the location level and shopper behavior during e-commerce sales. . ” Arena clients feed the platform data like SKU-level sales, pricing, inventory at the location level and shopper behavior during e-commerce sales. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

TechCrunch

SEPTEMBER 13, 2022

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Based on data from Venture Scanner, VC funding in RO&I companies jumped from $321 million in 2020 to $952 million in 2021.

Business Intelligence 185

Business Intelligence Analytics Business Analytics Hardware 185

Newgen Software

JUNE 18, 2021

Process automation has been at the forefront in the insurance landscape, but now, the future of insurance will be shaped by behavioral intelligence and predictive analytics. In order to maintain a competitive edge, you must transform your traditional, rule-based framework into a data-driven, intelligent, and predictive system.

Insurance 52

Insurance Analytics Engineering Business Analytics 52

CTOvision

APRIL 16, 2015

Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. Actuarial science itself is rooted in using historical data to understand future risk and uncertainty. They are not comfortable making decisions based on analytical approaches that they do not fully understand.

Analytics 97

Analytics Insurance Survey Analysis 97