TechCrunch

APRIL 12, 2022

Showing that the product analytics industry is alive and well, Kubit today announced that it raised $18 million in a series A funding round led by Insight Partners, bringing its total capital raised to $24 million. “Product analytics has proven its significance in many large enterprises’ successes.

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Analytics Enterprise Mobile Education 214

Altexsoft

APRIL 23, 2019

Any kind of business operates with some amount of data. The information is generated from many internal and external sources of your company. And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

FEBRUARY 8, 2021

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. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

Analytics 98

Analytics Data Business Intelligence Media 98

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Big Data Analytics with Cloudera Impala. “As

Big Data 109

Big Data Analytics AWS Data 109

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

Altexsoft

APRIL 16, 2021

This is an operational need, as we have to save our sales results, customer information etc. Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. An overview of data warehouse types.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

Altexsoft

DECEMBER 9, 2020

“War is 90 percent information.”. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? Stages of analytics maturity. Napoleon Bonaparte.

Analytics 102

Analytics Technical Review Technology Applications 102

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

The Accidental Successful CIO

NOVEMBER 6, 2013

CIOs need to learn how to ride the tsunami of big data Image Credit. CIOs have always had to find ways to deal with data. The arrival of the era of Big Data has almost overnight turned what was already a challenging task into a nearly impossible task. The Seven Steps To Getting Value Out Of Your Big Data.

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Big Data Analytics Data Report 93

TechCrunch

DECEMBER 16, 2020

As businesses adopt data warehouses, they now have a central repository for all of their customer data. Typically, though, this information is then only used for analytics purposes. And as Curl added, Snowflake and its competitors never quite went beyond serving the analytics use case either.

Data 251

Data B2C Analytics Big Data 251

Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

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Big Data Trends Data Business Intelligence 40

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

CTOvision

JULY 9, 2014

Since the birth of Hadoop in 2005-06, the way we think about storing and processing information has evolved considerably. The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data?

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Big Data Data CTO Fractional CTO 114

CIO

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Don’t neglect master data management.

Government 356

Government Data Technical Review Policies 356

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results.

Analytics 75

Analytics DevOps Development Software Review 75

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 351

Business Intelligence Data Business Analytics Analytics 351

CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Big Data 105

Big Data Fractional CTO Government CTO 105

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. The Complications Of Analyzing SAP Data. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. The Importance of a Cloud-Based, SQL Analytics System.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Apiumhub

APRIL 8, 2021

Even though there is plenty of information online, it can be difficult to digest all the information published online and find the time to read important news. We have created a list of people to help you eliminate unnecessary noise while staying connected to the Data Science community. Ronald van Loon. Kirk Borne. Marcus Borba.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service.

Analytics 52

Analytics Data How To Machine Learning 52

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

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

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Big Data Data Analytics Innovation 74

CIO

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Real Estate 236

Real Estate Data Generative AI Machine Learning 236

Xicom

JULY 21, 2020

Thus, it’s difficult to overstate the way big data has transformed many industries. Once, consultant Geoferry Moore put it – “Without Big Data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway” And, one such big benefit is predictive behaviour.

Healthcare 52

Healthcare Analytics Technical Advisors Analysis 52

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 131

Analytics Artificial Inteligence Data Machine Learning 131

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. But the value of that knowledge often remains buried because even experienced organizations have traditionally lacked the timely, comprehensive information required to yield actionable insights. Kentik exists to enable customers to unearth the value of their network data.

Big Data 40

Big Data Network Analytics Data 40

Altexsoft

AUGUST 31, 2020

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. To learn general terms of data processing, take a look at our business intelligence article.

Healthcare 72

Healthcare Analytics Examples Data 72

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 332

Technical Review Pharmaceuticals Security Training 332

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. We will help you make sense of your data and show you how to use it to solve complex business problems.

Data 110

Data Google Cloud Analytics Cloud 110

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

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