CIO

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

CTOvision

DECEMBER 10, 2013

By Bob Gourley If you were not able to watch our webinar on best practices for government big data solutions please review the on demand recording at this link: [link]. The webinar reviews best practices in big data solutions based on surveys and research done here at CTOvision.com.

Business Analytics 102

Business Analytics Big Data Analytics Survey 102

CTOvision

MAY 18, 2015

SAS Business Analytics software is focused on delivering actionable value from enterprise data holdings. The long-term, consistent vision and continuous innovation of SAS has kept SAS the market leader in business analytics. Sign up here. Date: 21 May. Signup: Webinar Link.

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Software Review Architecture Business Analytics Big Data 111

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

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

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

Big Data 107

Big Data Business Analytics Company Analytics 107

CTOvision

SEPTEMBER 8, 2014

The 2014 Data Impact award, presented by Cloudera, is a great way of helping the community learn best practices by highlighting mission-focused solutions. This year there is a special category for government, non-profits and NGOs. 2014 Data Impact Awards. GOVERNMENT, NONPROFIT, & NGO. Presented by Cloudera.

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Fractional CTO CTO Software Review Technical Review 105

CTOvision

APRIL 16, 2015

Take part in the "SAS and Apache Hadoop for Government" webinar on 21 May from 13:00 to 14:00, with Bob Gourley. Minding the Analytics Gap (sloanreview.mit.edu). SAS and Apache Hadoop for Government (delphibrief.com). SAS and Apache Hadoop for Government (delphibrief.com). Related articles.

Analytics 97

Analytics Insurance Survey Analysis 97

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Security & Governance.

Data 123

Data Analytics Banking Big Data 123

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

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Witness the widespread use of surveillance by governments against their citizens. . “At If y ou have good intentions, you can make it very good. Too often, that someone is a nation-state.

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Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

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

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course 94

Course Training Artificial Inteligence Software Review 94

Hu's Place - HitachiVantara

MAY 10, 2019

Today’s analytic tools with modern compute and storage systems can analyze huge volumes of data in real time, integrate and visualize an intricate network of unstructured data and structured data, and generate meaningful insights, and provide real-time fraud detection. This is where DataOps comes into play.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

CTOvision

JULY 25, 2016

The Cyber Reconnaissance and Analytics service is powered by the Cray ® Urika ® -GX system – Cray’s new agile analytics platform that fuses the Company’s supercomputing technologies with an open, enterprise-ready software framework for big data analytics. These entities are separate subsidiaries of Deloitte LLP.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

CTOvision

JUNE 10, 2015

We would also like to bring your attention to a white paper which captures more details on these lessons learned and use cases, which can be downloaded here: Download “SAS and Apache Hadoop for Government” SAS-And-Apache-Hadoop-for-Gov2.pdf pdf – Downloaded 239 times – 832 kB. For more technical detail, see: [link].

Video 107

Video Architecture Government Enterprise 107

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

Newgen Software

JANUARY 16, 2019

The post Process Insights- Get Answers to Complex Business Questions appeared first on Newgen Software. Related posts: Actionable Insights from Big Data using ECM. Dynamic Case Management – A Fusion of BPM, ECM and Business Analytics. Big Data for Government Agencies.

Big Data 40

Big Data Business Analytics Healthcare Analytics 40

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

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Education Analytics Recruiting Programming 99

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.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

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

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course 69

Course Training Artificial Inteligence Software Review 69

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Kaseya

MAY 13, 2021

Some of the key functionalities that Azure offers include: Computing power Database storage Content delivery network (CDN) Caching Business Analytics SQL database Virtual services Application and infrastructure migration Media services Mobile services. According to Forbes, 63% of enterprises are currently running apps on Azure.

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Google Cloud Azure AWS Cloud 122

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Banking 56

Banking Artificial Inteligence Data Artificial Intelligence 56

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. onsuming layer.

Virtualization 69

Virtualization Tools Data Architecture 69

The Cipher Brief

SEPTEMBER 20, 2020

government, most recently as the Director of the National Counterterrorism Center (NCTC). 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. Defining business analytics for the IC.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

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

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

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.

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Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 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 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

OCTOBER 16, 2014

It was also quite a kick for me personally to be able to announce winners in the category of Government, NGO and non-profit. 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. Los Angeles Big Data Users Group. ?

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Data Big Data Analytics Nonprofit 109

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 just the most recent development in a big data landscape where data governance is increasingly important.

Big Data 8

Big Data Government Trends Data 8

CIO

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. This development will make it easier for smaller organizations to start incorporating AI/ML capabilities.

Data 167

Data Technical Review Software Review Weak Development Team 167