Smart Data Collective

AUGUST 7, 2019

With the role of marketers in mind, a CDP can not only analyze data but also provide additional functionalities such as business intelligence and reporting. Some of the practical applications of CRM analytics include: Creating customer groups. Creating predictive models. Data management platform.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. So, what does all this mean to your business? Why is augmented analytics an important factor in your success?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experience the power of Business Intelligence with our 14-days free trial!

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. Architecture for Real-Time Data Warehousing with Extended Capabilities.

Data Warehouse 95

Data Warehouse Optimization Dashboards Interactive 95

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. as it was even three years ago.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Original Post : Smarten Augmented Analytics Now Available on Mobile App! Installation is easy.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

APRIL 19, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JUNE 21, 2018

Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. These augmented analytics tools use machine learning to auto-detect and recommend the best algorithm so users do not have to guess at the right selection.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. ETL is primarily used for data warehousing and business intelligence applications. However, data pipelines and ETL are not synonymous.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52