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

Tandem

AUGUST 9, 2023

This includes providing training and resources to help employees understand the importance of data, the principles of data analysis, and the tools and techniques used to extract insights from data. Data Analysis Tools: Data analysis tools allow you to manipulate and analyze your data to extract insights.

Data 52

Data Culture Analysis 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

Sunflower Lab

MARCH 25, 2024

Power BI, a powerful business intelligence tool by Microsoft, offers a vast number of security features and dashboards to ensure data protection, compliance, and risk mitigation. Users only see the data they have permission to access, ensuring compliance with data privacy regulations and organizational policies.

Security 52

Security Compliance Healthcare Policies 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

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. Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage 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

Sunflower Lab

FEBRUARY 20, 2024

This results in strong dashboards in the industrial sector that offer crucial information and predictive analytics for all levels of decision-making. Data analytics gives life to raw data, creating a picture of efficiency, quality, and potential. ”] 7.

Data 40

Data Weak Development Team Energy Analytics 40

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

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

Big Data 105

Big Data Fractional CTO Government CTO 105

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. Text and Language processing and analysis". 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

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 84

Data Analytics Cloud Technical Review 84

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

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Text and Language processing and analysis.

Big Data 86

Big Data Technology Tools Cloud 86

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

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

APRIL 5, 2021

What has now become an industry standard, was once a huge revelation that only well-interpreted and analyzed data can give powerful market and business insights. Unsuitable for on-demand or real-time analytics. ETL technologies are intended for the following use cases: Business Intelligence. Use Cases of ETL.

Company 78

Company Data Technical Review Analysis 78

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

TechCrunch

FEBRUARY 24, 2023

Jiffsy A mobile commerce platform for “slow” fashion brands to help them boost sales Kycaid An online identity verification and compliance management system MacPaw MacPaw is a software company with headquarters in Kyiv, Ukraine, that develops and distributes software for macOS and iOS.

Weak Development Team 262

Weak Development Team VR Sustainability Hardware 262

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

Capgemini

NOVEMBER 14, 2022

Moving a business forward requires fast access to good data for more applications. But that turns IT and analytics teams into the bottleneck. Let’s face it, the inquiry model – ask for insights, wait weeks for answers – does not support today’s pace of business. Easy, right? No, it’s not. We have received your form submission.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Mobilunity

MAY 26, 2023

These services use data analysis and asset monitoring tools to predict equipment failures. These services involve developing software that monitors and manages occupational health and safety standards, ensuring compliance, reducing risks, and promoting a safe work environment. Predictive maintenance. ERP and MRP software development.

Software Development 52

Software Development UI/UX Software Development 52

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. Processes Corporations focus on compliance rather than thinking about bad scenarios (negative thinking).

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

DataRobot

JUNE 23, 2022

Macro and Micro Analysis. Many AI/ML projects start with macro analysis. If this macro analysis succeeds, the team may be done – predicting it may be enough or the nature of the predictive model may make it clear that macro changes in scheduling and commitment can be made to ensure on-time delivery.

Artificial Inteligence 59

Artificial Inteligence Policies Analysis Systems Review 59

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. David Stodder , Senior Director, Research for Business Intelligence, TDWI.

Meeting 66

Meeting Data Technical Review Machine Learning 66

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

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

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

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

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? One wrong entry can throw off your entire analysis, leading to inefficiencies and higher costs. One big problem with these traditional methods is the potential for human error.

Energy 52

Energy Weak Development Team Analytics Analysis 52

TechCrunch

MARCH 10, 2022

It’s estimated that there are more than 1 billion people using Microsoft’s Excel in the world today, and a significant part of those are smaller-business people, and of those, 80% lean on the spreadsheet software to keep track of their finances. DataRails will continue to focus squarely on SMBs. Image Credits: DataRails.

Analytics 229

Analytics Tools Compliance Business Intelligence 229

Sunflower Lab

MARCH 26, 2024

Power BI is indeed a multi-sourced tool that not only consolidates data but also facilitates data analysis and the creation of interactive visualizations. Data Complexity: Financial data is often complex, requiring thorough analysis to derive meaningful insights.

Analytics 52

Analytics Metrics Trends Analysis 52

Actian

AUGUST 20, 2019

IBM is offering free migration assistance for Netezza Twinfin and Striper customers to move to the IBM Integrated Analytics System (IIAS) based on Db2 technology. There are broadly two classes of workloads running on Netezza systems: Business Intelligence-led systems and Line of Business (LoB) applications.

Fashion 40

Fashion Cloud Azure Data Center 40

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