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

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

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 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

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. Krista Macomber of Storage Switzerland reviews our recent enhancement to HCP in Hitachi Vantara Updates it Content Platform.

Storage 66

Storage Software Review Banking Technical Review 66

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%). This should secure our business strategy for the next five years and longer.”

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

Apiumhub

APRIL 22, 2021

Data modeling tools become critical here because they enable organizations to make data-driven decisions and meet varied business goals. Data modeling is the process of visualizing and representing data for storage in a data warehouse. Improve communication between developers and business intelligence teams.

Tools 59

Tools Data Business Intelligence Analytics 59

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

CIO

MARCH 24, 2023

Data governance software and vendors Data governance is an ongoing program rather than a technology solution, but there are tools with data governance features that can help support your program. The tool that suits your enterprise will depend on your needs, data volume, and budget.

Government 357

Government Data Technical Review Policies 357

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? Observability tools need to be fast, with queries ranging from sub-second to low-seconds. So anything we say to generalize is only going to be 90% true.

Tools 52

Tools Data Business Intelligence Analysis 52

Altexsoft

SEPTEMBER 9, 2022

We’ll briefly recap the basics first and then discuss metadata management and tools that can come in handy. Besides, they have to attract users to visit the website, so it’s a powerful marketing tool. Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing.

Tools 59

Tools Technical Review Software Review Systems Review 59

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

Perficient

FEBRUARY 16, 2023

The Data Catalog and Metadata Management A Data Catalog is a collection of metadata, combined with data management and search tools, that helps corporate knowledge workers find the data that they need. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

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. In computing, an enterprise data warehouse is a relational data warehouse(EDW) that holds a company’s business data, including information about its customers, data analytics, and reports.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. This means that ETL testing is mostly done manually, though we will talk about automation tools further in the article.

Testing 63

Testing Tools Software Review Technical Review 63

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

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). We are bringing back the Strata Business Summit , and this year, we have two days of executive briefings. Industry- and domain-specific tools, methods, and use cases.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Tandem

AUGUST 9, 2023

Often, companies are held back by restrictive silo mentalities, impeding progress even with the presence of the right tools and technologies. Relying on low-maturity, self-created tools and spreadsheets If your organization is still depending on self-created tools and spreadsheets, it’s time to adopt a product mindset for data.

Data 52

Data Culture Analysis Machine Learning 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. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 89

Data Analytics Open Source Architecture 89

Sunflower Lab

MARCH 13, 2024

Supply chain managers rely on data visualization tools & techniques to gain a comprehensive understanding of operational dynamics, identify trends, and anticipate potential issues. Custom Dashboards and Reports: Power BI allows users to create custom dashboards and reports tailored to their specific supply chain analytics needs.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 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. 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

Flexagon

MARCH 1, 2022

This experience includes deep knowledge of commercial, open source, and home-grown tools used today. The issues were driven by the complexity of the applications, middleware, database, and infrastructure and the fact that we did not have the right processes and tools in place. . source control tools such as Git and SVN .

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

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

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

Strategy Driven

APRIL 29, 2023

For example, a company specializing in SaaS products might use a CRM tool to manage its sales leads. The tool would allow their sales reps to collect lead data, prioritize leads based on behavior, and track their progress through the sales pipeline.

Data 37

Data Weak Development Team Real Estate Storage 37

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. It also involves creating a visual representation of data assets.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. The key to using any new set of tools and technologies is to understand what they can and cannot do. Deep Learning".

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

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

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection.

Architecture 52

Architecture Cloud Storage Google Cloud 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. Big data also helps to understand customer behavior by collecting information about users and their behaviors, which is important for online business development.

Big Data 52

Big Data Data Development Business Intelligence 52

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Are you looking to include log, semi-structured, or sensor data in your analytics?

Data 80

Data Analytics Cloud Technical Review 80

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. Additionally, Express.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. Additionally, Express.js

Enterprise 130

Enterprise Applications Development Scalability 130

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Protera

SEPTEMBER 13, 2022

Business intelligence managed services are an alternative for enterprisess without the maturity or bandwidth to manage a platform solution. Enterprise managed services are ongoing operational support services delivered by a third-party provider so that companies can stay focused on mission-critical business activities.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. Data must be consolidated, cleansed, and structured for proper use in analytics applications. The larger businesses have complex analytics architecture and may require more data engineers.

Data Engineering 52

Data Engineering Engineering Data Strategy 52