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

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

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

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

O'Reilly Media - Data

JULY 23, 2018

Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Temporal data and time-series analytics". Ethics and compliance are areas of interest to many in the data community.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

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

Mobilunity

MARCH 31, 2023

Examples: Oracle SCM Cloud, SAP SCM, JDA Software SCM, Infor Supply Chain Planning, Manhattan Associates SCM Business Intelligence (BI) software This software provides data analytics and insights that help organizations make informed business decisions.

Software Development 52

Software Development Software Review Enterprise Software 52

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

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 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

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

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

RapidValue

APRIL 20, 2020

With faster deployments, scalability and improved visibility across applications, cloud computing is a hit among DevOps-minded teams. Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value. billion by 2023. .

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. You might find out that it’s not sufficient for your analytical needs. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Sailpoint

AUGUST 21, 2012

With respect to IdM, this is particularly challenging because as we automate more and more of the business processes around IdM – from access certifications to requests for access – it’s critical for IT organizations to engage/support/nurture business users in order to be successful. Additionally, IdentityIQ 6.0

Innovation 52

Innovation Business Intelligence Compliance Policies 52

Mobilunity

MAY 26, 2023

Catering to both startups and large-grade enterprises, let’s explore how these solutions adapt to different business sizes: Startups. Emerging companies prioritize cost-effectiveness and scalability, which manufacturing software solutions can offer. Occupational and health safety management. Product quality assurance.

Software Development 52

Software Development UI/UX Software Development 52

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

CIO

MARCH 2, 2023

The challenge of the CIO’s job at a financial institution, however, is to eliminate waste by redefining the entire business process while delighting the client and simultaneously maintaining compliance, says Woodring. We’ll also continue with advancements in distribution management, the metering ecosystem, and consumer data analytics.”

Artificial Inteligence 356

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 356

Altexsoft

OCTOBER 27, 2022

Customs and regulatory compliance. Businesses that ship internationally have to comply with multiple regulations of different countries. Reporting and analytics. Analytics is an essential factor of business growth and development. scalability of the product (will it be able to support your growth?),

Technical Review 52

Technical Review Technology Transportation Software Review 52

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

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

Sunflower Lab

APRIL 22, 2024

Did you know that between 60% to 73% of enterprise data remains unused for analytics, with the manufacturing industry being the biggest contributor to it? Another issue is scalability. Scalability: They just can’t keep up as your operations get bigger and more complex. And let’s not forget about integration.

Energy 52

Energy Weak Development Team Analytics Analysis 52

Perficient

NOVEMBER 29, 2023

Imagine you’re running a business and using analytics to make decisions. You have reports, dashboards, data visualizations – all sorts of content that helps you understand what’s happening in your business. It’s like having your entire analytics operation in one big room where everything happens.

Business Intelligence 59

Business Intelligence Analytics Compliance Scalability 59

Sunflower Lab

AUGUST 18, 2023

Prompt Responses With a faster pace for tasks completion, businesses can respond quickly to customers, suppliers or any stakeholders leading to satisfaction across every level. Scalability Automation can easily adapt with the changing demands of the market, while keeping both quality and accuracy consistent. What are Power Apps?

Software Review 52

Software Review Technical Review Comparison Applications 52

Sunflower Lab

MARCH 18, 2024

Enabling Financial Leaders to Propel Success with Power BI Service Why do people and leading companies across the industries continue to choose and utilize Power BI service for thier business intelligence? These features establish it as a top-tier platform for data analytics. Need to discover a one-shot to data success?

Banking 52

Banking Compliance Technical Review Business Intelligence 52

Sunflower Lab

MARCH 26, 2024

The Power BI dashboard equips advanced data analytics tools to enhance forecasting accuracy by analyzing historical data trends and identifying patterns, enabling finance professionals to predict future financial outcomes with confidence. Customer Insights: Understanding customer behavior and preferences is crucial for financial institutions.

Analytics 52

Analytics Metrics Trends Analysis 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Kaseya

NOVEMBER 9, 2023

Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management. Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Altexsoft

MARCH 18, 2021

ETL tools are used for data integration to meet the requirements of traditional data warehouses that are based on OLAP (online analytical processing) technologies and/or relational database management systems. All data is at the disposal and can be transformed piece-by-piece for analytical purposes. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Lack of sharing hinders the elimination of fraud, waste, and abuse. Forrester ).

Architecture 77

Architecture Data Artificial Inteligence Artificial Intelligence 77

Apiumhub

APRIL 27, 2021

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. Raw data must be cleansed and formatted to be useful in different analytic methods. Graph approaches are ideal for using cluster analytics.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. This allows our customers the freedom to choose their preferred analytic tool. Time travel with point-in-time queries for forensic visibility and regulatory compliance capabilities .

Data 84

Data Analytics Machine Learning Artificial Inteligence 84

Openxcell

NOVEMBER 1, 2023

Some of the features are stated below:- Work Order Management Labor & Scheduling Mobile Workforce Cloud and IIoT Supply Chain Management Financial Management Analytics & Reporting Inventory Management Benefits of EAM a) Brings down the maintenance costs using predictive maintenance. e) Assists in ensuring compliance with regulations.

Enterprise 52

Enterprise Software Retail Software Development 52

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Summarized touches upon the fact the data is used for data analytics. Scalability opportunities. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

CIO

SEPTEMBER 22, 2023

First would be the DMP’s ability to integrate with other systems in your data stack, including CMSes, CRMs, analytics tools, and advertising platforms. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

Data 253

Data Advertising Report Performance 253

Cloudera

AUGUST 21, 2021

There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants.

Industry 99

Industry Data Banking Analytics 99

Openxcell

AUGUST 28, 2023

b) Fine-tuned planning and reporting As businesses expand, data storage and management become crucial. They also have the capability to generate reports and analytics, which helps in decision-making across diverse platforms. d) Streamlined efficiency Enterprise software integrates advanced technologies like analytics and AI.

Enterprise 52

Enterprise Applications Development Software Review 52