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

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Openxcell

OCTOBER 26, 2023

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. Similar to a physical goods warehouse, the data stored in such a type of digital warehouse are often one of a business’s most valuable assets.

Enterprise 52

Enterprise Data Technical Review Analytics 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

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

Tandem

AUGUST 9, 2023

Promoting self-service analytics: By making data more understandable and accessible, the semantic layer empowers end-users to conduct their analyses and generate reports, fostering a data-driven culture within the organization. Data Storage and Management Systems: These systems are used for storing, retrieving, and managing data.

Data 52

Data Culture Analysis Machine Learning 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

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

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

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

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 82

Data Analytics Cloud Technical Review 82

O'Reilly Media - Data

JULY 23, 2018

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. Recommendation Systems". Machine Learning with PyTorch.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

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. Metadata storage usually implies developing a specialized repository. Metadata storage.

Tools 59

Tools Technical Review Software Review Systems Review 59

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Datavail

SEPTEMBER 28, 2022

Data-driven decision making is proving itself to be invaluable in almost every business vertical. The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. Simplifying regulatory compliance: 40%. Data warehouse and analytics.

Data 40

Data Business Intelligence Government Analytics 40

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Altexsoft

OCTOBER 27, 2022

inland transportation from origin and/or to destination, goods storage, preparation of customs and other documentation, freight consolidation and deconsolidation, container tracking, insurance services, import customs clearance, and so on. storage, documentation, packing, inland haulage), and typically act on behalf of shippers.

Technical Review 52

Technical Review Technology Transportation Software Review 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.

Enterprise 130

Enterprise Applications Development Scalability 130

Altexsoft

MAY 6, 2022

When ice cream melts in your hands on a hot day, it can be a bit frustrating; but if a load of vaccines can’t be used because it went bad due to wrong storage or transportation conditions, the results are a lot more serious, if not fatal. So, it’s important that all the parties of supply chains (3PLs, carriers, storage facilities, etc.)

Transportation 52

Transportation How To Pharmaceuticals Storage 52

Datavail

OCTOBER 18, 2022

You can’t have superior “Business Intelligence” (BI) without excellent data retrieval, organization, and management. Despite BI being the popular buzzword these days, too many companies fail to invest in the data discovery pipelines needed to generate that analytical data. Contact an Expert ».

Business Intelligence 52

Business Intelligence Data Architecture Storage 52

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

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. Data transformation process compliance. What is ETL testing and why do we need it? Performance and integration testing.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

NOVEMBER 9, 2021

In this article, we’ll explain what procurement analytics is, highlight the main difficulties within the purchasing process, and look at how analytics can address them. Procurement is a set of operations related to finding, acquiring, and paying for goods and supplies for business needs. Main components of procurement analytics.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

MARCH 16, 2023

Modern asset tracking systems allow business operators and managers to always be on top of their assets’ location, condition, maintenance status, and performance, having access to all collected data in centralized storage. Complicated compliance and insurance procedures. make reports, conduct analytics, etc.).

Technical Review 52

Technical Review Technology Software Review Systems Review 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

AUGUST 18, 2023

Actionable Insights Automated workflows generate data and analytics that offer valuable insights into process performance, allowing businesses to identify areas for improvement and make data-driven decisions. Microsoft has made building custom business applications easy with its low-code and no-code power apps service.

Software Review 52

Software Review Technical Review Comparison Applications 52

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance.

Big Data 84

Big Data Azure Google Cloud Data 84

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? Separate storage. You also do not want to risk your company-wide cloud consumption costs snowballing out of control.

Analytics 93

Analytics Storage Technical Review Virtualization 93

Altexsoft

OCTOBER 15, 2018

Non-aeronautical revenue management systems are comprised of accounting systems, business intelligence, payrolls, and revenue from ground handling services in airports. The ARINC Suite for airports offers the following modules: ARINC AirDB – Rockwell Collins AODB for data storage, network integration, and information management.

Software Review 75

Software Review Software Technical Review Technology 75

Altexsoft

MARCH 11, 2022

A returns management platform should be able to generate and provide customers with labels and other shipping documentation in compliance with carrier standards. Reporting and analytics. We have a separate post dedicated to supply chain analytics that you can check out. Shipping and tracking. Inventory management systems (e.g.,

Software Review 52

Software Review Software B2C Transportation 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

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. It enables organizations to operate efficiently without needing any extensive internal infrastructure.

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. This stage applies to loading data into a target data storage system so that users can access it. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Hu's Place - HitachiVantara

APRIL 12, 2018

The key requirements for Data Center Modernization are an agile data infrastructure that is cloud aware and container integrated, data governance which ensures that data is continuously available and adheres to compliance objectives, operation intelligence to provide deeper insights, and automation to optimize and accelerate innovation.

Data Center 40

Data Center Storage Data Compliance 40

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Data quality issues deter trust and hinder accurate analytics.

Architecture 77

Architecture Data Artificial Inteligence Artificial Intelligence 77