CIO

AUGUST 24, 2023

“This allows Equinix to focus its investments and resources on the partners best suited for joint sales and resell activities,” says Ted Dangson, senior director of applied AI strategy and analytics at Equinix.

Artificial Inteligence 236

Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 236

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Government 357

Government Data Technical Review Policies 357

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Scalability Analytics Google Cloud 52

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 363

Business Intelligence Business Analytics Analytics Analysis 363

Cloudera

OCTOBER 4, 2023

Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 90

Analytics Machine Learning Artificial Inteligence Telecommunications 90

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%). growth,’’ the firm wrote in a newly-published report on worldwide IT spending in Q4 22.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Data Processing and Analytics: Data lakes are not just about storage; they empower advanced analytics.

Data 52

Data Storage Construction Business Intelligence 52

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. They were spending a ton of time and money just to produce basic reports and dashboards to draw the simplest of correlations among their patient populations.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. It helps to present data sets in a concise crisp format for easy analytics and reporting.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Sunflower Lab

MARCH 21, 2024

In today’s business landscape, there’s a buzz around the benefits of Power BI reports, but many are unsure where to begin. Enter the Power BI Purchase Dashboard: a powerful analytics tool allowing organizations real-time insights into their procurement activities, supplier performance, spending habits, and more.

Budget 52

Budget Comparison Metrics Analysis 52

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

Datavail

FEBRUARY 19, 2019

Strong business intelligence and analytics capabilities are essential for the modern business. The right BI and analytics platform will help you better understand your historical performance metrics, and also make better estimates about where your organization will be in the months and years to come.

Applications 53

Applications Software Review Business Intelligence Technical Review 53

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. Actionable insights (via dashboards, reports, visualizations, …). What is Data Science? fraud detection).

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The best data engineers view their responsibilities through business and technical lenses. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Datavail

JUNE 21, 2022

If you are involved with managing data, analytics, or business intelligence, you know that your organization is going to increase its appetite for making decisions based on its large reservoir of data. Responding to the Increase in Demand for Data and Data Analytics. Here are the top challenges you’ll need to address.

Data 52

Data Analytics Strategy Case Study 52

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

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

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

Hu's Place - HitachiVantara

JUNE 5, 2019

.” In the last half of last year we applied DataOps to consolidate our enterprise reporting systems into one data lake. Under the leadership of Ram Roa, Vice President, Technology and Analytics, and the collaboration of the domain users, the data lake was in production in 7 months and this data management program was in place.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Actian

MAY 28, 2019

Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Most companies use multiple databases to store data at various levels of refinement, from raw source data to highly curated analytics and reports.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Palo Alto Networks

SEPTEMBER 15, 2020

According to an ABIResearch report , “Private cellular networks for industrial use have the potential to boost gross margin by 5% to 13% for factory and warehouse operations that fully embrace Industry 4.0.” The report also found that 57% of IoT devices are vulnerable to medium- or high-severity attacks.

Enterprise 84

Enterprise IoT Network Malware 84

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics. However, simply migrating to any object store is not enough.

Storage 66

Storage Software Review Banking Technical Review 66

RapidValue

APRIL 20, 2020

A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 The Accelerate State of DevOps report shed light on the fact the DevOps industry is continuously evolving with the tripled proportion of high performers. Billion by 2023. billion by 2023. .

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. 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.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Openxcell

JULY 27, 2023

SaaS is the way businesses can achieve simplicity, scalability, and security. You can reach out to a top SaaS development company for SaaS solutions that are scalable and secure. Additionally, Spendesk helps create interactive and intuitive expense and reimbursement reports.

Company 52

Company Software Review Mobile Trends 52

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.

Data 87

Data Data Engineering Big Data Architecture 87

Trigent

SEPTEMBER 29, 2023

However, a pertinent question here would be – Are companies optimizing advanced business intelligence techniques to analyze the sheer volume of data they collect and break it down to derive value-driven insights? Is the data accurate, up-to-date, and reliable?

Analytics 52

Analytics Business Intelligence Metrics Strategy 52

Altexsoft

MARCH 23, 2022

.); conducting marketing activities to find and retain consumers; handling bills, invoices, general ledgers, and other accounting witchcraft; collecting and analyzing data for reporting and finding areas for improvement. Reporting and analytics. Again, many tour operator solutions have an inbuilt reporting module.

Software Review 52

Software Review Technical Review Engineering Software 52

CIO

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning. With today’s announcements, SAP is building on that vision.

Artificial Inteligence 318

Artificial Inteligence Generative AI Government Architecture 318

Altexsoft

APRIL 23, 2019

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. The answer is business intelligence. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CIO

DECEMBER 21, 2022

So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions.

Pharmaceuticals 328

Pharmaceuticals Business Intelligence Technical Review Government 328

Altexsoft

APRIL 5, 2021

Unsuitable for on-demand or real-time analytics. ETL technologies are intended for the following use cases: Business Intelligence. Social media data, consumer information, and web analytics are common examples of marketing data that is moved by the ETL process for further analysis. Use Cases of ETL. Conclusion.

Company 78

Company Data Technical Review Analysis 78

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98