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

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., What is Power used for? Power BI products. Power BI products. per user/month).

Weak Development Team 52

Weak Development Team Data Azure Analytics 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

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.

Data 40

Data Weak Development Team Energy Analytics 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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

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 analytics and data platform is powering different data needs, use cases, and growth. The Enterprise Data Cloud – A Healthcare Perspective.

Enterprise 47

Enterprise Cloud Data Healthcare 47

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. Power Apps.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Metrics Programming 40

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. Forecasting Accuracy: Accurate forecasting is crucial for financial planning and decision-making.

Analytics 52

Analytics Metrics Trends Analysis 52

Perficient

JUNE 30, 2023

In 2019, there were enhancements in Power BI where more powerful AI features were included, like AI visuals, Text analytics, the inclusion of Azure machine learning models, Image recognition, which plays an important role in advanced analytics, quicker insights from data models, an automatic Q&A system, and more.

Azure 84

Azure Machine Learning Artificial Inteligence Analytics 84

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? Power Up Your Business Intelligence with Power BI Turn complexity into clarity with our user-friendly Power BI solutions.

Energy 52

Energy Weak Development Team Analytics Analysis 52

DataRobot

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Data Analysis Must Include Business Value. To drive business value and successfully apply AI , it’s critical that members of data and analytics teams clearly articulate the underlying business value. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 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

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

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). Thanks to data consolidation, everyone who uses data to make strategic and operational decisions or build and maintain analytical tools, can easily and quickly access it. But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Mobilunity

JUNE 14, 2021

Business Intelligence (BI) in a Nutshell. Such data, when processed correctly, becomes a crucial source of information for the company’s development, fine-tuning business strategies, increasing profitability, mitigating risks, etc. In this article, we discuss the answers to these questions and more. Hire with Mobilunity!

Weak Development Team 52

Weak Development Team Development Recruiting Business Intelligence 52

Altexsoft

DECEMBER 14, 2020

For analytical purposes, you can use data warehouses. Each post contains some metrics like shares or hashtags that can be quantified and structured. Storages for analytical use: data lakes vs data warehouses. Such data can only be used for its intended purpose. The travel agency Facebook post: an example of unstructured data.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. Any changes to analytics requirements won’t affect the whole workflow.

Tools 52

Tools Software Review Systems Review Testing 52

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 2, 2023

Real-time tracking systems and advanced analytics software can optimize warehouse workflows. Such systems are also used for tracking people within the facility for security, navigation, or analytics purposes. Centralized access to data enables business intelligence and streamlines reporting, planning, and decision-making processes.

IoT 52

IoT Systems Review System Storage 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.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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. Source: Business Intelligence. Defining data quality rules and metrics.

Tools 16

Tools Data Technical Advisors Technical Review 16

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. Over the last seven years, Cloudera’s Stream Processing product has evolved to meet the changing streaming analytics needs of our 700+ enterprise customers and their diverse use cases. Faster ingestion was needed to reduce overall analytics latency. .

Data 84

Data Disaster Recovery Analytics Microservices 84