CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Analytics 338

Analytics Data Analysis Business Analytics 338

Protera

SEPTEMBER 13, 2022

Enterprise managed services are becoming essential to large companies in every industry as IT infrastructures and technology in general evolve and advance at a rapid pace. Cloud migration, data intelligence, IT security and digital transformation are just some of the many IT priorities companies are balancing today. Quick Takeaways.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

CIO

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Government 357

Government Data Technical Review Policies 357

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

FEBRUARY 13, 2023

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles. What is a data engineer?

Data Engineering 338

Data Engineering Analytics Engineering Data 338

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

NOVEMBER 22, 2022

The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 363

Retail Minimum Viable Product Architecture Machine Learning 363

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. Today’s investment brings the total raised to $17 million, according to the company.

Artificial Inteligence 212

Artificial Inteligence Tools Artificial Intelligence Machine Learning 212

TechCrunch

MAY 16, 2022

” Claravine’s product is designed to help enterprises control what flows through their tech stack, especially business intelligence and analytics software, and manage their marketing data standards — the blueprints for defining common formats for data across regions, teams, and campaigns. .

Marketing 182

Marketing Data Software Review Technical Review 182

Perficient

NOVEMBER 28, 2023

What’s exciting here is that the path to responsibly enabling AI for enterprise is starting to light up. AWS made announcements today around its Amazon S3 Express One Zone storage class, Graviton4 chips powering R8g EC2 instances, expanding their NVIDIA partnership and deeper collaboration with multiple foundational models.

AWS 52

AWS Generative AI Innovation Cloud 52

Sunflower Lab

JULY 5, 2023

The enterprises are now actively engaged in creating efficient tools to collaborate with the health sector and can reduce mismanagement and traditional data management methods. Power BI is one of the leading tools in business intelligence software. Why Business Intelligence Software?

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52

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.

Architecture 52

Architecture Data Storage Machine Learning 52

Flexagon

MARCH 1, 2022

The six founders of Flexagon worked for years in the trenches of enterprise software platforms. We have a combined 100+ years of experience dealing with the complexity of enterprise software development and operations across infrastructure, database, middleware, and applications. Out-of-Box Support for Enterprise Software Platforms .

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. In order to meet the business needs, Walgreens has used automation processes to build and maintain Hadoop clusters.

Enterprise 47

Enterprise Cloud Data Healthcare 47

Perficient

FEBRUARY 16, 2023

Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence. Ensuring success with enterprise data requires the formal integration of multiple lines of business, technology, and processes through data management and governance to create a comprehensive data catalog.

Data 110

Data Google Cloud Analytics Cloud 110

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. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Strategy Driven

APRIL 29, 2023

Implement Data Storage Solutions Implementing robust data storage solutions is essential for managing and safeguarding data. Efficient data storage solutions enable enterprises to improve data management, monitor their websites , enhance data security, increase workflow efficiency, and save IT infrastructure and operations costs.

Data 39

Data Weak Development Team Real Estate Storage 39

Kentik

MARCH 27, 2017

I was focused on our current customer base in digital business as well as cloud and service providers. But it became clear to me based on his feedback that any complex enterprise today can benefit from a modern approach to DDoS protection, and that Kentik can add real value in that context. What’s a complex enterprise?

Enterprise 40

Enterprise Policies Analytics Architecture 40

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). This year, we have many sessions on managing and deploying models to production, and applications of deep learning in enterprise applications. Text and Natural Language sessions.

Machine Learning 154

Machine Learning Artificial Inteligence Company Case Study 154

Sunflower Lab

OCTOBER 9, 2023

Contemporary machine-learning algorithms are able to derive conclusions from a variety of sources and discover trends in generated data, both of which are very useful in day-to-day work of Business Intelligence Analyst. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

O'Reilly Media - Data

JULY 23, 2018

Machine Learning in the enterprise". Managing data science in the enterprise. Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Ethics and privacy.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

Apps Associates

JULY 14, 2023

Capsule summary: Pearson leverages Oracle Enterprise Resource Planning (ERP) for financials and planning, with 80-90% of the business heavily dependent on the system. They provide content, assessment and digital services to learners, educational institutions, employers, governments, and other partners globally.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Datavail

SEPTEMBER 15, 2022

Business intelligence (BI) refers to collecting and analyzing data produced by your operations. Analyzing business data allows you to identify insights that will support business decisions that produce growth. Today, business decisions aren’t made based on theories or the instincts of highly experienced employees.

Government 40

Government Data Business Intelligence Compliance 40

Apps Associates

OCTOBER 8, 2021

Since we first published this blog, we have completed a major Oracle to AWS project helping Pearson plc Migrate Entire Enterprise Oracle Environment to AWS in Record Time. Pearson plc is the world’s learning company with more than 22,500 employees operating in 70 countries.

AWS 52

AWS Disaster Recovery Backup Data Center 52

RapidValue

JUNE 26, 2020

Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Excellent support for databases and data warehouses. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Oracle Specialized Partner for Business Intelligence.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

AlienVault

MAY 24, 2019

This new addition to the AlienApps ecosystem provides an extra layer of security to cloud storage services that many enterprises are outsourcing to Box. Beyond monitoring and data collection, USM Anywhere offers early detection of critical events and alerting, thanks to event correlation and business intelligence.

Business Intelligence 40

Business Intelligence Storage Research Enterprise 40

AlienVault

MAY 24, 2019

This new addition to the AlienApps ecosystem provides an extra layer of security to cloud storage services that many enterprises are outsourcing to Box. Beyond monitoring and data collection, USM Anywhere offers early detection of critical events and alerting, thanks to event correlation and business intelligence.

Business Intelligence 40

Business Intelligence Storage Research Enterprise 40

Apiumhub

APRIL 22, 2021

With so much information at our disposal, it is becoming increasingly important for organizations and enterprises to access and analyze the relevant data to predict outcomes and improve services. Data modeling tools become critical here because they enable organizations to make data-driven decisions and meet varied business goals.

Tools 59

Tools Data Business Intelligence Analytics 59

Honeycomb

FEBRUARY 3, 2022

You probably have already answered this before, but do you have a good rule of thumb for where o11y [observability] ends and BI [business intelligence]/data warehouses begin? You can store high level aggregates by the year, somewhat more detailed aggregates by the month, week, and day. And it’s fast.

Tools 52

Tools Data Business Intelligence Analysis 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. If large and valuable data for the enterprise is managed, then there has to be openness for the business to choose different analytic engines, or even vendors.

Data 89

Data Analytics Open Source Architecture 89

CTOvision

SEPTEMBER 12, 2016

The data they used was made up of structured internal data, and their findings helped organizations in their decision-making process, not unlike what many businesses do now. Over the next decade, researchers discussed the need for better storage mediums as the amount of data generated continued to expand.

Big Data 147

Big Data Analytics Data Storage 147