TechCrunch

FEBRUARY 26, 2021

Jeremy Levy is CEO and co-founder of Indicative , a product analytics platform for product managers, marketers and data analysts. Enterprises Don’t Have Big Data, They Just Have Bad Data. Start by using product analytics to understand the nuances of what’s working and what isn’t, and then double down on the former.

Analytics 226

Analytics Marketing B2C B2B 226

Dzone - DevOps

MARCH 5, 2024

Salesforce CRM Analytics is a cloud-based Business Intelligence (BI) and visualization framework seamlessly integrated into the Salesforce platform, designed to enable business insights, predictive analytics, and recommendations by integrating the Salesforce data with external big data sources.

Analytics 52

Analytics Data Big Data Business Intelligence 52

Datica

JUNE 25, 2019

Information and data analytics are the driving force behind modern innovation. We can’t think of a better way to use data analytics than to save lives and improve healthcare. One of the fastest growing data stores is patient data, and the information doctors and hospitals collect about diseases or drugs.

Big Data 56

Big Data Healthcare Analytics Data 56

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

Big Data 96

Big Data Conference Trends Data 96

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 124

Big Data Data Storage Azure 124

CTOvision

OCTOBER 6, 2015

The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. This begins with understanding how the maturity of your organization enables or inhibits your ability to strategically pursue Big Data programs. Mapping Big Data (oreilly.com).

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Big Data Data Business Transformation Analytics 113

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

BrainStation Technology

JUNE 4, 2019

In a relatively short period of time, big data has become a big business in professional sports. The market for sports analytics is expected to reach almost $4 billion by 2022, and teams around the world are racing to find a competitive advantage. And big data played a big role. .

Sport 74

Sport Big Data Data Analytics 74

CTOvision

JULY 19, 2014

a leading independent research firm, invited to participate in its report, “The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 1 ”. Streaming Analytics is at the core of our IBO offering and is the basis upon which companies can manage fast ‘Big Data’ and the increasing impact of the ‘Internet of Things’.”.

Big Data 109

Big Data Analytics Software Data 109

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. Why Analytics?

Analytics 52

Analytics Analysis Organization System 52

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 317

Business Intelligence Technical Review Data Systems Review 317

CTOvision

OCTOBER 26, 2015

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects.

Big Data 120

Big Data Project Management Data Government 120

CTOvision

AUGUST 26, 2014

Editor’s note: This looks like one of the most relevant data analytics events of the season. Company representatives that want to meet the NASA experts on Big Data should attend. Dr. Duffy was the Co-Investigator on the MERRA Analytics Service Project. Discover what big data tools NASA utilizes.

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Big Data Data Analysis Analytics 111

CTOvision

SEPTEMBER 21, 2015

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service. A program is something ongoing and relatively permanent.

Big Data 118

Big Data Project Management Data Technical Review 118

TechCrunch

SEPTEMBER 20, 2022

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. On the analytics side, Zartico uses AI to predict activity, like the volume of visitors to a certain area, and to extract mentions of travel destinations from unstructured text (e.g. or to places.”

Tourism 240

Tourism Travel Technical Review Big Data 240

Cloudera

APRIL 6, 2022

Beyond boot camps and computer science degrees, Brooks said that YouTube, massively open online courses (MOOCs), and other institutions have data science programs freely available online to assist with learning about the tools and techniques available. Streaming analytics beyond Earth. By Elizabeth Howell, Ph.D.,

Big Data 97

Big Data Artificial Inteligence Data Machine Learning 97

CTOvision

MAY 23, 2014

We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration.

Big Data 119

Big Data Data Storage Architecture 119

CTOvision

APRIL 29, 2016

As a supercomputer maker, Cray has been delivering the massive analytic processing power required by scientists and engineers for the last 40 years. Today, they've harnessed those decades of know-how in their data analytics and data discovery solutions. Urika ® -XA Extreme Analytics Platform. Related articles.

Big Data 61

Big Data Data Analytics Architecture 61

CTOvision

MARCH 21, 2017

Analytics can actually tell us which elements can transform mere words into a unique experience. Elearning companies are also leveraging these analytics to provide greater value to digital presentations. Data analysis is about finding patterns and insights from collected raw data. Modern Learning. Conclusion.

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Big Data eLearning Data Analysis 110

CTOvision

JANUARY 6, 2017

When you think of Big Data, you think of companies leveraging analytics to predict consumer interests, habits, and buying histories in order to improve the way they market their products or services. However, Big Data isn’t only used externally – it can be used internally. Rick Delgado.

Big Data 84

Big Data Culture Data Trends 84

CTOvision

SEPTEMBER 9, 2016

Big data benefits businesses in various ways during the employee training process. If you run a company that has analysts, administrators, and data scientists, there are several reasons why you may want to use applications that rely on big data. Better Training and Enhanced Performance. Brigg Patten.

Big Data 62

Big Data Training Data Weak Development Team 62

CTOvision

JANUARY 26, 2015

Pentaho will be holding a special Big Data Blueprints session 5 Feb in Arlington VA. We most strongly suggest this activity for federal agency and system integrator architects seeking to optimize their current data holdings. 9:30 – 10:20 Welcome & Big Data Blueprints: Setting the Stage.

Big Data 103

Big Data Data Wireless Analytics 103

CTOvision

SEPTEMBER 9, 2016

Big data benefits businesses in various ways during the employee training process. If you run a company that has analysts, administrators, and data scientists, there are several reasons why you may want to use applications that rely on big data. Better Training and Enhanced Performance. Brigg Patten.

Big Data 61

Big Data Training Data Weak Development Team 61

CTOvision

FEBRUARY 15, 2017

It would be difficult to identify one singular component of business that has had the impact of Big Data over the last several years, and there is a good reason for this. Big Data represents a massive opportunity for businesses around the world, primarily based on its capacity to transform and disrupt the status quo.

Big Data 71

Big Data Data Metrics Analytics 71

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. To understand how we must first look into the many areas of data analytics.

Analytics 52

Analytics Data IoT Trends 52

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

CTOvision

OCTOBER 13, 2014

Editor’s Note: Pentaho’s open approach and value added enterprise capabilities are making it a very popular framework for knitting together organizational data holdings. PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future. Advanced Data Security in Hadoop.

Big Data 105

Big Data Data Business Analytics Analytics 105

CTOvision

APRIL 20, 2017

Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. Big data can help you to spot a crisis in your processes or markets or clients.

Big Data 75

Big Data eLearning Data Culture 75

Perficient

MARCH 19, 2024

By using v isual elements like charts, graphs, and maps , data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for knowledge workers to present data to non-technical audiences without confusion.

Data 111

Data Google Cloud Analytics Serverless 111

CTOvision

JULY 9, 2014

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? The data is too big, moves too fast, or does not fit the structures of your database architectures.

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Big Data Data CTO Fractional CTO 114

Kentik

APRIL 23, 2018

Predictive analytics uses historical data to predict future events. In the context of IT practices, the analytics are gaining in interest, in part, due to advances in supporting technologies, such as big data, machine learning, and artificial intelligence. Big Data and Cloud-Scale Resources to the Rescue.

Analytics 40

Analytics Artificial Inteligence Network Performance 40

CTOvision

JANUARY 15, 2015

Eddie Garcia is regarded as one of the nation''s greatest Big Data security architects. At Gazzang he led engineering teams through successful fielding of secure hadoop deployments where security was provided without sacrificing performance. Ways to leverage Intel hardware for enhanced security performance. Encryption.

Big Data 118

Big Data Data Healthcare Engineering 118

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

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

TechCrunch

AUGUST 2, 2022

. “Today, when the most sophisticated, data-centric business-to-business companies run a promotion, data scientists analyze past data to determine the best type of promotion to run for a specific product in a specific market. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

DevOps.com

JANUARY 25, 2021

From an organizational perspective, an analytics workload is a way to gain a data-driven business advantage. The post An Analytics Workload is a Critical Data Management Tool appeared first on DevOps.com.

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Analytics Tools Data Testing 117