Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

Analytics 93

Analytics Retail Architecture Government 93

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

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

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

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. 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. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

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

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Business Intelligence

Data 285

Data Fractional CTO Artificial Inteligence Systems Review 285

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

CIO

AUGUST 23, 2022

With a focus on patient care, cost savings, and scalable innovation, healthcare organizations in the US are adopting a range of emerging technologies to improve patient experiences, to aid clinicians in their jobs, and to compete with digital entities entering the market. Business intelligence developer. Application analyst.

Healthcare 232

Healthcare Systems Administration Software Engineering Business Intelligence 232

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

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. To solve these, we leveraged technologies that stemmed from diverse academic and corporate research facilities,” Bala says. “It

Artificial Inteligence 223

Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 223

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

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 356

Government Data Technical Review Policies 356

Dzone - DevOps

MARCH 21, 2023

Elasticsearch is a distributed, full-text search and analytics engine that allows you to store, search, and analyze large volumes of data quickly and in near real-time. Elasticsearch is an open-source search and analytics engine that allows you to store, search, and analyze large amounts of data in real-time.

Open Source 52

Open Source Business Intelligence Analytics Scalability 52

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

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

TechCrunch

DECEMBER 16, 2021

In the modern world, transactions are essentially just one aspect payments; equally important is the data that comes with that transaction, useful for accounting, for business intelligence, analytics, and more. “We’ve built a brand new cloud native platform for payment companies,” said De Vries.

Technology 214

Technology Cloud Retail Business Intelligence 214

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%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363

Budget Artificial Inteligence Technical Review VR 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 85

Analytics Machine Learning Artificial Inteligence Telecommunications 85

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. Now let’s take a more in-depth look at a few specific projects and solutions which Perficient has executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

AWS Machine Learning - AI

APRIL 24, 2024

It is much more scalable to provide sufficient training data for reinforcement learning, and much less subjective because the training is not dependent on particular preferences from a small group of SMEs. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.

Artificial Inteligence 96

Artificial Inteligence Engineering Performance Generative AI 96

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

Business Intelligence 182

Business Intelligence Small Business Weak Development Team Analytics 182

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

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

TechCrunch

APRIL 13, 2021

The answer is twofold: You need to make your revenue predictable, repeatable and scalable in the first place, plus make use of tools that will help you create projections based on your data. Base projections on repeatable, scalable results. Still, revenue modeling remains a challenge for founders. So what’s the takeaway?

Tools 214

Tools Scalability Sustainability Data 214

Openxcell

OCTOBER 2, 2023

After analyzing the performance, scalability, and cost-effectiveness of the current system, they recommend improvements and optimizations. If you want to reimagine business processes, adopt cloud solutions, integrate data analytics, and embrace emerging technologies then this service is for you.

Technical Review 52

Technical Review Security Technology Weak Development Team 52

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

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

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

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. In many scenarios, the scalability and variety of tooling options make the cloud an ideal target environment. Foundry’s 2022 Data & Analytics study found that 62% of IT leaders expect the share of analytics workloads they run in the cloud to increase.

Analytics 246

Analytics Cloud Data Government 246

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

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

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

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. The most important component is the data management application, which is responsible for all the data manipulation, analytical processing, and storage activities.

Big Data 52

Big Data Data Development Business Intelligence 52