xmatters

NOVEMBER 23, 2022

Extracting Critical Information for Root Cause Analysis. When an emergency occurs, all eyes are on the incident commander, who needs reliable intelligence to make good decisions. This process, known as root cause analysis (RCA), forms a critical part of the incident management process. Log analysis data. Lineage analysis.

Systems Review 98

Systems Review Analysis Tools Examples 98

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

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

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

xmatters

NOVEMBER 23, 2022

Extracting Critical Information for Root Cause Analysis When an emergency occurs, all eyes are on the incident commander, who needs reliable intelligence to make good decisions. This process, known as root cause analysis (RCA), forms a critical part of the incident management process. million each year. million each year.

Systems Review 52

Systems Review Analysis Tools Examples 52

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. Metadata storage usually implies developing a specialized repository. Metadata storage. As for storage location, there are two options. What is metadata management?

Tools 59

Tools Technical Review Software Review Systems Review 59

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. Deloitte calculated that companies with data-driven CEOs are 77 percent more likely to succeed) and in today’s business world it’s absolutely self-evident that data is the key to success.

Weak Development Team 52

Weak Development Team Data Azure Analytics 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? Spending Habits: Through transaction data analysis, the bank gains meaningful insights into customer spending patterns (e.g.,

Banking 52

Banking Compliance Technical Review Business Intelligence 52

Kentik

MARCH 27, 2017

Plus they often have a multitude of siloed tools for network analysis, DDoS detection, and mitigation. Aside from the capabilities enabled by superior compute power and storage capacity, Kentik is also different because it’s built to be a data unification platform combining flow records (NetFlow, sFlow, IPFIX, etc.)

Enterprise 40

Enterprise Policies Analytics Architecture 40

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

AUGUST 13, 2020

As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. Business intelligence (BI) exists to address the problem of capturing and understanding data. Business intelligence in hotels: sources of data and components. Business intelligence use cases for hotels.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. A data pipeline is a set of tools and activities for moving data from one system, with its method of data storage and processing, to another system in which it can be stored and managed differently. We’ll get back to the types of storages a bit later.

Data 76

Data Storage Analytics Data Center 76

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

Kentik

FEBRUARY 14, 2023

Through instrumentation, integrations, automated analysis, visualizations, and a full suite of data management features, data platforms offer data managers and engineers a unique opportunity to interact with distributed data at a scale that would otherwise exist in siloed data infrastructures.

Network 52

Network Data Artificial Inteligence Analysis 52

Perficient

JULY 4, 2023

ETL is commonly used in business intelligence and data warehousing projects to consolidate data from various sources and make it available for analysis and reporting. ETL is a batch-oriented process that requires a significant amount of computing power and storage space. What is ELT?

Big Data 52

Big Data Scalability Analysis Performance 52

Sunflower Lab

OCTOBER 2, 2023

The Azure Synapse connector allows you to connect Databricks to Azure Synapse, that utilizes the “COPY” statement to transfer huge quantities of data quickly between a Databricks cluster and an Azure Synapse instance while briefly staging it in an Azure Synapse Data Lake Storage Gen2 storage account.

Azure 40

Azure Analytics UI/UX Software Review 40

Altexsoft

DECEMBER 14, 2020

On top of that, structured data doesn’t normally require much storage space. DW are central data storages used by companies for data analysis and reporting. If there’s the need to keep data in its raw native formats for further analysis, storage repositories called data lakes will be the way to go.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

JULY 18, 2023

The building blocks of Apache Spark Apache Spark comprises a suite of libraries and tools designed for data analysis, machine learning , and graph processing on large-scale data sets. This feature significantly simplifies complex data relationship handling and analysis. Data analysis. For this, we have a short, engaging video.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

NOVEMBER 9, 2021

Price analysis dashboard by Sievo with opportunities overview. Digitization has already greatly improved this business aspect, facilitating contract creation and editing, introducing e-signatures, increasing security, tracking expiration dates, and enabling convenient search and storage functionalities. Cost analysis.

Analytics 52

Analytics Software Review Systems Review Technical Review 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. You’ll also be able to calculate and monitor storage costs.

Technical Review 52

Technical Review Industry Technology IoT 52

Altexsoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Business workflow automation. Geospatial analysis.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

FEBRUARY 10, 2021

Data is cleansed and enriched, initial data models are designed to meet business needs. Data analysis. Otherwise, they produce insights using different data analysis techniques. For decades, ETL had been prevailing over ELT because storage mediums couldn’t cope with the volume and complexity of raw data.

Analytics 75

Analytics DevOps Development Software Review 75

Openxcell

JANUARY 18, 2022

Besides, it provides a single interface and single data storage to manage the projects efficiently. Moreover, it utilizes the delta compression technique for storage management and is highly secure as it doesn’t use symbolic links. Besides, it also monitors the micro-services of the business. Concurrent Versions System.

DevOps 52

DevOps Tools Open Source Testing 52

Cloudera

OCTOBER 25, 2022

The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment. You can also create metrics to fire alerts when system resources meet specified thresholds. Data loss prevention.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

AUGUST 21, 2019

Using specific tools and practices, businesses implement these methods to generate valuable insights. One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Database/Warehouse developer.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

FEBRUARY 22, 2022

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. If you don’t have one, but still want to track fuel metrics, there’s an alternative. Processing data.

Software Review 52

Software Review Technical Review Software Technology 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. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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

Altexsoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Data storage and processing. Data analysis. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 3, 2019

People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning. We’ll tell how to establish and implement HR data collection and analysis with a step-by-step plan. Source: SAP .

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Once you know against what data quality dimensions you will evaluate your datasets, you can define metrics. Data custodian – manages the technical environment of data maintenance and storage.

Tools 16

Tools Data Technical Advisors Technical Review 16

Altexsoft

JULY 19, 2022

The analytical plane embraces data that is collected and transformed for analytical purposes such as enterprise reporting, business intelligence , data science , etc. The examples of business use cases consuming data from the analytical plane are dynamic pricing , sentiment analysis , and product and content recommendations.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

NOVEMBER 22, 2019

The main storage of hotel booking information is your property management system (PMS). Key performance metrics (KPIs) — such as Average Daily Rate (average price per room), occupancy rate (the percentage of available rooms), Revenue per Available Room (RevPAR). Hotel data analysis: getting value from variables.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper. Often, no technologies are involved in data analysis. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13

The Kini Group

SEPTEMBER 26, 2016

No one likes financial reporting and analysis. Analysis, now sometimes that’s fun. Pressure to Make Financial Reporting and Analysis More Efficient and Transparent. These days, companies want their CFOs to make their reporting and analysis as high-quality as possible. There, I said it. But reporting? Always a chore.

Analysis 50

Analysis Report How To Analytics 50

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. These desired outcomes beget the need for a distributed streaming storage substrate optimized for ingesting and processing streaming data in real-time. What is Kafka blindness? Who is affected?

Data 88

Data Disaster Recovery Analytics Microservices 88