Altexsoft

JANUARY 26, 2022

They commonly prepare data and build machine learning (ML) models. A big chunk of their work includes helping businesses get better insights and make predictions based on data. Get acquainted with how data is prepared for machine learning projects in our dedicated video.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

JANUARY 14, 2021

This technology allows retailers to measure and respond in real-time to shopper behavior, measure geolocation, traffic, dwell times, and conversion metrics. In-store customer insights and engagement opportunities are now possible using data captured from sensors, video, and beacons.

Retail 69

Retail Agile Storage Analytics 69

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Business (13%), security (8%), and web and mobile (6%) come next. NoSQL databases was second, with 7.6%

Trends 137

Trends Technical Review Technology Software Review 137

Perficient

FEBRUARY 22, 2024

In addition, it defines metadata for linkages across the data sources and enterprise standards such as common dimensions, KPIs and attribute/metric definitions. Another value-add for the business is that they can access new data sources quicker and in real-time now that the semantic layer requires no data movement or replication.

Virtualization 52

Virtualization Enterprise Data Analytics 52

Codegiant

NOVEMBER 9, 2020

Presents real-time dashboards with mix-and-match events and metrics from linked services, containers, hosts, and apps. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Provides team collaboration tools.

Software Review 64

Software Review Tools Weak Development Team Development 64

Codegiant

NOVEMBER 9, 2020

Presents real-time dashboards with mix-and-match events and metrics from linked services, containers, hosts, and apps. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Provides team collaboration tools.

Software Review 52

Software Review Weak Development Team Tools Development 52

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Picture source: Stellar. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13