Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Smarten PMML Integration enables a seamless process, designed for business users,’ says Patel. Models are interpreted in English and model details are logically organized.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

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! About Smarten.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

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. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

JUNE 17, 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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

NOVEMBER 8, 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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

CIO Business Intelligence

MARCH 31, 2023

Top skills for business analysts include project management, data analysis, business analysis, user stories, and user acceptance, according to Zippia. And the top employers of business analysts include Google, Citi, JPMorgan Chase & Co., Amazon, Capgemini, and IBM.

Business Analysis 86

Business Analysis Testing Business Analytics Statistics 86

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Peter James Thomas

MAY 3, 2019

The flip side is that making the necessary investments to provide even basic information has been at the heart of the successful business turnarounds that I have been involved in. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Smart Data Collective

FEBRUARY 2, 2021

In general, Big Data can help businesses in all fields – it’s not something reserved for tech companies. However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Data Scrubbing. Data Service. Data Sourcing. Infographic.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Andrew White

MARCH 22, 2019

I jest here; what I mean to say is that economics and rational, smart models should trump perfectly designed ideas. This ties into the failure of data governance and MDM (see first item in this list). Well, it depends on the work in scope…data management, or analytics, or data science/ML, or data (and analytics) governance….

Analytics 68

Analytics Metadata Data Governance Management 68

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). A model may for example spit out a figure like £12.4 The model is not saying that £12.4

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

AUGUST 29, 2018

This approach ensures that the CDO role (I have a number of CDOs functionally reporting to me) remains close to the business and the local entity it supports, it ensures that my management team is directly connected to the needs of the business locally, and that the local businesses have a direct connection to the global strategy.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

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. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

MARCH 9, 2022

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data Lake 102

Data Lake Unstructured Data Data Warehouse Data Quality 102

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Amazon’s system gave candidates star ratings from 1 to 5.

Analytics 143

Analytics Machine Learning Insurance Testing 143

Depict Data Studio

SEPTEMBER 17, 2019

Chris Lysy is a professional data designer and illustrator constantly exploring the overlap between contemporary design practice, digital communications, and data science. David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Chris Lysy. Kylie Hutchinson.

Visualization 40

Visualization Consulting Dashboards Reporting 40