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

Flexagon

MARCH 1, 2022

The COTS support includes traditional on-prem database, middleware, business intelligence, applications, and cloud services for infrastructure, platform, and software applications. We will build upon our existing value stream analytics capabilities to provide significantly more insights to our customers in 2022.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Datavail

MARCH 24, 2020

This includes your plans for handling data at every stage of the pipeline, from collection and storage to integration, analysis, and collaboration. IT research and analysis firm Gartner has defined four crucial components of every organization’s data strategy: An overarching general business strategy.

Strategy 40

Strategy Data Policies Storage 40

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

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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

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

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The platform comprises ingest, transformation, and storage services in the public cloud, and on-prem RDBMS’s, EDW’s, and a large, ungoverned legacy data lake.

Enterprise 47

Enterprise Cloud Data Healthcare 47

xmatters

NOVEMBER 23, 2022

To assess the situation, they’ll need information such as: System performance metrics. Traffic analytics. This issue occurs when companies don’t have a streamlined and standardized data intake and storage process. Suppose that your client-facing website is experiencing a latency spike. Server logs. Data flow maps. Security logs.

Systems Review 98

Systems Review Analysis Tools Examples 98

Altexsoft

MARCH 30, 2021

A fuel management system is a subdivision of a fleet management system that uses telematics -based tools and analytical software to capture fuel consumption data and improve fuel economy. A fuel management system uses data from different sources to create comprehensive analytics. Complex and time-consuming fuel reporting.

Systems Review 72

Systems Review System Travel Analytics 72

Datavail

MAY 28, 2019

Most organizations struggle with managing the variety of technological resources involved in their projects, from communications apps to data storage and access processing and real-time productivity metrics. The resulting metrics can provide the roadmaps needed to move the enterprise forward based on real information.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Metrics Programming 40

Bernd Rucker

MAY 25, 2022

For looking at data, you can access it in Elastic (check the Elastic Exporter for details), leverage the metrics , or build your own exporters to push it to some data storage component that is convenient for you. Exporters can also filter or pre-process data on the fly.

Open Source 98

Open Source Software Review Development Team Review Technical Review 98

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. I was focused on our current customer base in digital business as well as cloud and service providers.

Enterprise 40

Enterprise Policies Analytics Architecture 40

xmatters

NOVEMBER 23, 2022

This issue occurs when companies don’t have a streamlined and standardized data intake and storage process. Example 2: Addressing Latency Spikes Suppose that your client-facing website is experiencing a latency spike. In this case, the incident commander is informed first. million each year.

Systems Review 52

Systems Review Analysis Tools Examples 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

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. The answer is business intelligence. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

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

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

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

Altexsoft

AUGUST 13, 2020

Data analytics is one of the key directions for digital transformation in various industries, travel included. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

Honeycomb

JANUARY 24, 2024

Observability has three pillars: metrics, logs, and traces.” But logs are expensive and everybody wants dashboards… so we buy a metrics tool. Logs, metrics, traces, APM, RUM. Metrics Metrics are the great-granddaddy of telemetry formats; tiny, fast, and cheap. Observability 1.0 What’s your multiplier? (If

Tools 143

Tools Metrics Software Review Engineering 143

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

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). We’ll get back to the types of storages a bit later. Transform – moving data in a temporary storage known as a staging area.

Data 76

Data Storage Analytics Data Center 76

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

Altexsoft

OCTOBER 13, 2023

To answer these and other questions, you can rely on your gut feeling, ask the astrologist – or scrutinize the related metrics and make your decisions based on data. It’s evident that to manage your inventory (as well as other business aspects) effectively, you have to measure and analyze the processes inside your company.

KPI 52

KPI Weak Development Team Software Review Metrics 52

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

DECEMBER 14, 2020

On top of that, structured data doesn’t normally require much storage space. For analytical purposes, you can use data warehouses. DW are central data storages used by companies for data analysis and reporting. A data lake is a storage repository or system meant to store huge volumes of data in its natural/raw formats.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

FEBRUARY 2, 2023

Real-time tracking systems and advanced analytics software can optimize warehouse workflows. Then, all this data is transferred to the cloud for storage and processing. Such systems are also used for tracking people within the facility for security, navigation, or analytics purposes. Underutilized storage space.

IoT 52

IoT Systems Review System Storage 52

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. What is Apache Spark?

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

AUGUST 11, 2022

miles long carrying 82,000 metric tons of ore), and more sustainable (one ton of freight can be moved over 470 miles on just a single gallon of diesel fuel). At the same time, you should avoid bloating your fleet to minimize storage/demurrage charges and other expenses. KPI monitoring and analytics. Managing lease contracts.

Technical Review 52

Technical Review Industry Technology IoT 52

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What are the main features of a modern data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. It allows users to rapidly ingest data and run self-service analytics and machine learning. Identity management and authentication. Vulnerability management.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. process data in real time and run streaming analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 19, 2022

The organizational shift means switching from centralized ownership of data by specialists who run the data platform technologies to a decentralized model pushing ownership and accountability of the data back to the business domains where data is produced or used. So, to avoid any confusion, please be aware that data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

FEBRUARY 22, 2022

Reporting and analytics is essential to obtain a bird eye view of your fleet and make data-based decisions. Integration with a business intelligence tool is important to receive a holistic analysis of your maintenance processes, track costs, visualize trends, and get actionable insights. Processing data. Access permissions.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. An OLAP or Online Analytical Processing cube is the tool used to represent data for analysis in a multidimensional way.

Data 64

Data Analytics Construction Cloud 64

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. Smart CTOs recognize the wealth of data trapped in silos across their business. That could include: Metrics tracking customer behavior across multiple channels and lines of business.

Big Data 62

Big Data Organization Data Business Intelligence 62