TechCrunch

MAY 9, 2022

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions. Download this overview at: SAS and Apache Hadoop for Government.

Government 113

Government Business Analytics Big Data Architecture 113

Newgen Software

NOVEMBER 17, 2022

The post Analytics – Gain Insights, Improve Decision Making, Predict Outcomes appeared first on Newgen. Related posts: Dynamic Case Management – A Fusion of BPM, ECM and Business Analytics. Actionable Insights from Big Data using ECM.

Analytics 52

Analytics Business Analytics Big Data Culture 52

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value.

System 114

System Data Big Data Business Analytics 114

CTOvision

APRIL 9, 2015

This webinar will examine lessons learned, best practices and concepts of operation designed to help you make the most of your data. For more information and to sign up see: SAS and Apache Hadoop For Government: Bringing the power of user-focused business analytics to big data.

Architecture 103

Architecture Big Data Business Analytics Government 103

CTOvision

SEPTEMBER 8, 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.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. Data Insights provides restaurants and retailers with the tools and services to synthesize data from all these sources, including big data sources, to help uncover actionable guest insights.

Big Data 105

Big Data Analysis Storage Business Analytics 105

CTOvision

OCTOBER 16, 2014

But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. A TIBCO Spotfire advanced analytics solution purpose-built for a client. ?

Data 109

Data Big Data Analytics Nonprofit 109

CTOvision

JUNE 3, 2014

Using Weka with PDI , we are now helping clients blend a 360-degree view of all equipment data sources to enable early prediction of potential machinery failure. Pentaho Data Integration with R has allowed Paytronix to deliver analytics and insights to our clients much faster. Weka goes BIG (pentaho.com).

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Newgen Software

FEBRUARY 6, 2024

That’s a torrent of information created by the combined forces of social, mobile and cloud technologies. Not only do most organizations struggle to deal with this data but also fail to realize the opportunities which can be realized by leveraging this data. 100 Data and Analytics Predictions Through 2020.

Analytics 52

Analytics Analysis Organization System 52

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

SEPTEMBER 6, 2018

Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. Big data analysis. Client analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Apiumhub

APRIL 1, 2021

Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce. This book gives you a good overview of all the concepts that you need to learn to master data science. Each of these concepts is explained well and there are examples along with an explanation of how the concepts are relevant in data science.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

CTOvision

OCTOBER 22, 2014

NYSE: IT) is the world’s leading information technology research and advisory company. Pentaho’s the successful Data Integration & Business Analytics software vendor we’ve partnered with for nine years – almost since they cut their teeth with open … Read more on Information Management (blog).

Technical Review 108

Technical Review Technology Software Review 3D 108

Datavail

NOVEMBER 26, 2019

In this continuation of our analysis of the Top 10 Big Data Trends to Watch in 2019 , as projected by Datanami, we’ll take a look at Trend #4: Data Governance Builds Steam. The GDPR is an EU regulation intended to give people greater protection and privacy for their personal information.

Big Data 8

Big Data Government Trends Data 8

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. How many members have we lost or gained this month?

Business Intelligence 359

Business Intelligence Data Business Analytics Analytics 359

Datavail

DECEMBER 5, 2019

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. As of August 2018, there were 151,000 unfilled data scientist positions across the U.S. ,

Big Data 8

Big Data Technical Review Trends Technology 8

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Cloud capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

APRIL 7, 2021

Insurance carriers have a unique opportunity: They have access to powerful technologies and a wealth of information that can help them to better understand their customers and provide an enhanced customer experience. . They expect (and often demand) easy and quick access to information and high-quality service. Data Monetization.

Insurance 59

Insurance Analytics Exercises IoT 59

Cloudera

OCTOBER 29, 2020

While many AMCs lack the ability to access this data in real-time, such a capability stands as a game-changer for those looking to take their operations to the next level.

Healthcare 52

Healthcare Data Systems Review Big Data 52

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.

Business Analytics 105

Business Analytics Analytics Enterprise Big Data 105

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 45

IoT Cloud Data Analytics 45

Strategy Driven

MARCH 21, 2016

As individuals, we are challenged by the overwhelming amount of data we interact with in every scope of our lives. Learning how to make sense of data is becoming a necessity rather than a choice. Competitive organizations are embracing big data and re-engineering their strategies and processes accordingly.

Organization 21

Organization Data Big Data Business Analytics 21

Kaseya

MAY 13, 2021

In addition, there is a limitation on the availability of information for the resources that are managed by Amazon VPC and Amazon EC2 consoles. You will be charged a fee for technical support based on the package you opt for, namely developer, business or enterprise. Charges for Technical Support.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project.

Big Data 40

Big Data Analytics Data Technical Review 40

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

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 8

IoT Cloud Data Analytics 8

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

CTOvision

JULY 25, 2016

The threat intelligence reports generated through this service are already enabling clients, including the Department of Defense, to focus remediation teams by providing detailed, actionable information on potential threat vectors and identifying specific flows, network locations, times and events. “We

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 124

Data Analytics Banking Big Data 124

TechCrunch

MARCH 22, 2021

.” Before y42, Vietnam-born Dang co-founded a major events company that operated in over 10 countries and made millions in revenue (but with very thin margins), all while finishing up his studies with a focus on business analytics. And that in turn led him to also found a second company that focused on B2B data analytics.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

The Cipher Brief

SEPTEMBER 20, 2020

As the IC confronts the transformational moment of the post-9/11 era, it will need better insights about itself to inform how it adapts. The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission. As a result, the IC is flying blind.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Infinidat

MARCH 10, 2021

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. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98