Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. Cloudera FinOps Capabilities CDP is a cloud-native platform helping companies accelerate cloud adoption to run their data and analytics workloads.

Analytics 75

Analytics Cloud Technical Review Resources 75

Datavail

AUGUST 4, 2021

Moving analytics to the cloud is now a best practice for companies of all sizes and industries. According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution.

AWS 98

AWS Technical Review Analytics Development Team Review 98

DevOps.com

MAY 4, 2021

The Path to Data Leadership: Embracing Business Intelligence and Embedded Analytics report explores indicators and impacts of organizational maturity with data literacy RALEIGH, N.C. — The post Logi Analytics Research Outlines Critical Business Advantages for Data Leaders Investing in Analytics appeared first on DevOps.com.

Analytics 52

Analytics Research Data Business Intelligence 52

Altexsoft

NOVEMBER 10, 2020

Business Intelligence is a practice of turning raw data into useful insights. It allows you to collect data from different sources, organize it, and then enjoy the analytics. Probably yes, as it’s the most balanced view of the business you can get. Now, let’s talk about your Business Intelligence strategy.

Business Intelligence 107

Business Intelligence Strategy How To Development 107

TechCrunch

SEPTEMBER 29, 2022

(In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.) “We are on a mission to radically improve the analytics landscape by making enterprise-scale data transformations as efficient and flexible as possible.”

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Datavail

JULY 28, 2022

You’ve already made the choice to move from on-premises data analytics to the cloud—which puts you in very good company. According to a survey of large enterprises by Teradata , 83 percent agree that the cloud is the best place to run analytics workloads, and 91 percent believe that analytics should be moving to the public cloud more quickly.

Analytics 52

Analytics Cloud Minimum Viable Product Compliance 52

TechCrunch

MARCH 26, 2021

It’s time to abandon business intelligence tools. Ideally, BI transforms raw data into actionable information, but according to Charles Caldwell, VP of product management at Logi Analytics, “a gap exists between the functionalities provided by current BI and data discovery tools and what users want and need.”

Survey 236

Survey Real Estate VR Windows 236

Datavail

DECEMBER 15, 2021

Analytics is a critical component for many organizations that want to make sense out of their data. Taking your analytics to the cloud opens up many possibilities, but are you truly getting the most out of your investment? Driving Buy-In and Adoption of Cloud Analytics. Driving Buy-In and Adoption of Cloud Analytics.

Analytics 52

Analytics Cloud Survey Culture 52

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

TechCrunch

JANUARY 24, 2023

According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places. In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails.

Company 203

Company Data Storage Backup 203

TechCrunch

OCTOBER 12, 2022

A 2021 survey from Dimensional Research found that more than two-thirds of companies leave valuable data untapped, largely because of problems building pipelines to access that data. ” Syntex offers backup, arc1hiving, analytics and management tools for documents as well as a viewer to add annotations and redactions to files.

Technical Review 250

Technical Review Data Survey Backup 250

TechCrunch

OCTOBER 27, 2022

To their point, in a recent IBM survey , 40% of IT leaders said their data integrations are getting too expensive while 19% believe their current data integration solutions can’t handle all data sources. But DeMers argues that most are focused on workarounds to better deal with data fragmentation, particularly in the context of analytics.

Data 202

Data Compliance Survey Banking 202

CIO

FEBRUARY 6, 2023

For Pappas, the customer has become the “North Star” in the digital era, and other insurance CIOs concur, as improving the customer experience and operational excellence — not revenue growth — tops the list of insurance digitalization initiatives in 2023, according to a recent Gartner survey of CIOs across 81 countries.

Insurance 311

Insurance Artificial Inteligence Machine Learning Virtualization 311

TechCrunch

APRIL 19, 2022

According to a 2018 Gartner report, 87% of organizations have low business intelligence and analytics maturity. A 2021 Databricks and MIT survey found that only 13% of organizations are delivering on their data strategy. Enso’s platform enables data analytics.

Enterprise 232

Enterprise Data Technical Cofounder Technical Review 232

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 336

Technical Review Pharmaceuticals Security Training 336

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. In 2015, only 17% of organizations surveyed had big data implementations.

Analytics 52

Analytics Trends Data Big Data 52

TechCrunch

APRIL 6, 2021

And finally — largely by integrating with digital marketing platforms such as HubSpot, WordPress and Marketo — Casted’s software provides analytics on what a specific user is paying attention to. Those data-driven analytics becomes valuable information for sales and marketing teams in terms of who to target and why.

B2B 206

B2B Marketing Video Analytics 206

TechCrunch

MAY 16, 2022

Tracking code is a snippet of code that tracks the activity of a website visitor by collecting data and sending it to an analytics module, usually for marketing purposes. “This is why our solution is built to engrain standards into the way business teams work and collaborate as they create and modify data.

Marketing 182

Marketing Data Software Review Technical Review 182

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Increasingly, businesses are realizing they need to invest in skills development to leverage emerging technologies, agrees SPR’s Mead.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JANUARY 26, 2023

global inflation rate, an ongoing talent squeeze, and persistent supply issues as a triple threat to CIOs’ ability to realize time to value for their tech investments this year, according to its 2023 Gartner CIO and Technology Executive Survey , which gathered data from 2,203 CIOs in 81 countries and all major industries.

Budget 343

Budget Fractional CTO Off-The-Shelf Tourism 343

CTOvision

DECEMBER 21, 2016

Organizations are dealing with ever-growing amounts of data – and to get value from that data they need to analyze it, so what is the hold up in deploying content analytics? This unparalleled amount of content has led to the term ‘content analytics’. The art of applying content analytics. In our just released research -.

Analytics 71

Analytics Technical Review Research Systems Review 71

CIO

DECEMBER 20, 2023

My team looks after digital transformation, cybersecurity, project delivery, help desk application, and infrastructure support, data and analytics.” We also have a quarterly survey, which is an important tool to help get a feeling of staff engagement and sentiment. This also helps create that greater sense of engagement and fulfilment.

Technical Review 130

Technical Review Systems Review Nonprofit Education 130

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. This concurs with survey results we plan to release over the next few months. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning.

Big Data 84

Big Data Technology Tools Cloud 84

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. They deliver on the promise of Hadoop and Big Data, by providing a collaborative and intuitive visual environment for teams to quickly create and deploy analytics workflows and predictive models.

Technical Review 99

Technical Review Analytics Technology Big Data 99

O'Reilly Media - Ideas

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. Here are some notable findings from the survey: Companies are serious about machine learning and AI. We found companies were planning to use deep learning over the next 12-18 months.

Sustainability 84

Sustainability Company Machine Learning Artificial Inteligence 84

O'Reilly Media - Data

MARCH 7, 2018

Watch highlights covering machine learning, business intelligence, data privacy, and more. Hilary Mason looks at practical applications for intelligent machines and outlines the tools and processes needed to implement machine learning successfully. From the Strata Data Conference in San Jose 2018. Lessons in Google search data.

Conference 110

Conference Machine Learning Artificial Inteligence Data 110

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Datavail

SEPTEMBER 28, 2022

The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. S&P Global Market Intelligence used the results of their annual Voice of the Enterprise survey to gather some information about data-driven decision making.

Data 40

Data Business Intelligence Government Analytics 40

Datavail

MARCH 8, 2022

A ML data model provides users with one of three distinct ML strategies , each of which provides a specific type of business intelligence: descriptive, predictive, and prescriptive. One survey revealed ML adopters’ internal process efficiencies rose by up to 30%. Datavail is here to help. Why Embrace ML?

Machine Learning 97

Machine Learning Artificial Inteligence Compliance Programming 97

O'Reilly Media - Data

JULY 23, 2018

The results of a recent survey we conducted (with 11,000+ respondents, a full report is forthcoming) bears this out—only about 15% of respondents worked for companies that have extensive experience using ML in production: In this post, I’ll describe how one can go from “exploration and evaluation” to actual “implementation” of ML technologies.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Tesla, Ford and Volkswagen are all implementing predictive analytics in their new wave of autonomous vehicles.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations. However, Power BI offers a user-friendly and cost-effective alternative.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Sunflower Lab

MARCH 25, 2024

CSAT is typically collected through post-interaction surveys or feedback forms. Here are four essential metrics to include: Power Up Your Business Intelligence with Power BI Turn complexity into clarity with our user-friendly Power BI solutions. Sunflower Lab is here to help your business with our Power BI experts.

Metrics 52

Metrics Analytics Trends Data 52

Datavail

MAY 9, 2019

To see where the field of data governance is headed next, the Business Application Research Center (BARC) conducts an annual survey. This poll assesses how business intelligence professionals’ views on data governance (and other BI topics) are changing over time. More important for best-in-class companies.

Government 40

Government Trends Data Technical Review 40

Exadel

FEBRUARY 27, 2023

The average company uses 40-60 SaaS apps according to a 2021 survey by Productiv. Add custom software solutions, including systems built with legacy tech stacks, and you’ll get 400 separate data sources that a modern organization needs to fulfill basic data analytics on, as well as business intelligence objectives.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52