Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Snapshot Key Performance Indicator KPI Business Intelligence 52

Sisense

MARCH 24, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. One area they refused to cut, however, was their business intelligence program. Use analytics to correlate and compare your operations, performance management, and financial analysis.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

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. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. But what exactly are SaaS BI tools , and why do they matter in the realm of modern business intelligence? What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Using Big Data to Fix Your Biggest Problems as a Business Owner. In 2019, big data technology is paramount in business.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

CIO Business Intelligence

JULY 24, 2023

It has also developed predictive models to detect trends, make predictions, and simulate results. These fan engagement, competition management, and advanced performance analytics capabilities are part of LaLiga Tech’s offerings. million data points per match.

Broadcasting 94

Broadcasting Recreation/Entertainment Testing Machine Learning 94

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

SEPTEMBER 5, 2023

It could allow mundane tasks to be automated more intelligently, freeing up teams to tackle more strategic challenges. It could allow analytics to become even more predictive by using data in AI algorithms to identify trends and patterns long before they become obvious. The potential of ERP systems powered by AI is huge.

Technology 96

Technology Predictive Modeling Predictive Analytics Forecasting 96

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. must be converted to numeric ranking, i.e., 1,2,3,4,5.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 125

Advertising Machine Learning Software Measurement 125

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 110

Machine Learning Data Architecture Uncertainty Data-driven 110

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. How Can Multiple Linear Regression Be Helpful for Business Analysis? Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. Use Case – 1.

Business Analysis 40

Business Analysis IT Sales Statistics 40

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 116

Advertising Machine Learning Software Measurement 116

Smarten

JUNE 29, 2018

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

Business Problem: An eCommerce company wants to measure the impact of product price on product sales. Simple Linear Regression is a useful analytical technique when an organization wants to explore and analyze existence and nature of a relationship between one independent variable (X) and one dependent variable (Y).

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Logistic regression measures the relationship between the categorical target variable and one or more independent variables. What is Binary Logistic Regression Classification?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Drive Through to Implementation.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

Smarten

JUNE 29, 2018

One is a dimension containing two values and the other is a measure. 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.

Testing 40

Testing Statistics IT Business Intelligence 40

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 71

Risk Modeling Management Metadata 71

Decision Management Solutions

NOVEMBER 13, 2018

80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. 38% of those surveyed cited a failure to integrate analytics into workflows and frontline systems. Begin with decisions, not with data.

Insurance 40

Insurance Analytics Modeling Visualization 40

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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

CIO Business Intelligence

JUNE 22, 2022

Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. . One of the ways to accelerate time to insight is by performing analytics on real-time data. This is the focus of “data in motion”. What is data in motion?

IoT 96

IoT IT Manufacturing Internet of Things 96

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Average value of all cars in U.S.

Analytics 40

Analytics Forecasting Statistics Sales 40

CIO Business Intelligence

MARCH 22, 2023

However, there is still a market need for solutions deployed across the ML lifecycle (before and after model training) to protect PII while accessing vast datasets – without drastically changing the methodology and hardware used today. In the training phase, the primary objective is to use existing examples to train a model.

Machine Learning 104

Machine Learning Cost-Benefit Modeling Risk 104

CIO Business Intelligence

AUGUST 15, 2023

In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.” San Francisco’s IT effort “provides greater transparency to the public, minimizes human bias, and saves time,” Gerull says. “In

IT 98

IT Manufacturing IoT Cost-Benefit 98

Alation

APRIL 14, 2022

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. Predictive Transformation.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. 200,000 queries per day.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

CIO Business Intelligence

MAY 10, 2022

It offers data assembly, analytics, campaign orchestration, and message delivery via natively integrated channels. BlueConic is a website personalization CDP designed to help businesses manage tailored content and offers across websites and mobile apps. Treasure Data CDP. Customer data platform vs. CRM.

Advertising 115

Advertising Interactive Marketing Data Integration 115

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

Smarten

MARCH 13, 2024

Augmented Analytics and Citizen Data Scientists are not meant to replace refined data modeling or the role of Data Scientists, but rather can supplement and support analytics across the enterprise. and then write complex queries and use complicated algorithms and analytical techniques.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

JUNE 25, 2018

Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data. This measurement can be biased in a case where there are a significant number of outliers present in the data. Skewness is a measure of symmetry.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

DECEMBER 3, 2023

What is Augmented Analytics and How Has it Evolved? Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52