Name: Analytic Solver Ribbon and Task Pane Interface Overview
Uploaded: 2015-02-20T21:32:43.000Z
Duration: 4 min 27 s
Description: A short overview of the Ribbon and Task Pane interface in our Excel Products including: Analytic Solver, Risk Solver, Premium Solver, and XLMiner. See the "Building your first optimization/simulation model" example videos for more detailed.

Help Desk

Live Chat

Web and Video Conferencing

Customer Support

Flowchart

Development

Association Management

Business Intelligence (BI)

Collaboration

Enterprise Legal Management

Risk Management

Streaming Analytics

Workflow

Enterprise

Accounting

Accounts Receivable

Crypto Asset Management

Crypto Tax

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

.Net Development

AI Governance

Cloud Storage

Custom Software Development Services

Data Center Virtualization

Data Fabric

Fraud Detection

IT Service Providers

Identity Verification

Integration Platform as a Service (iPaaS)

Intranet

Load Testing

Managed File Transfer (MFT)

Managed Private Cloud

Network Performance Monitoring

SaaS Management

Software-Defined WAN

System Monitoring

Time Series Databases

User Activity Monitoring

Web Portal

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Content Management

Contest Management

Email Marketing

Gamification

Marketing Automation

Personalization Engines

Press Release Management

Product Sampling

Social Media Management

Survey & Forms Building

Video Editing

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead-to-Account Matching and Routing

Product Configuration

Sales

Architecture

Construction Workforce Management

Inventory Management

Last Mile Delivery

Loan Servicing

Moving Software

Oil and Gas

Physical Therapy

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Solver

SAS Enterprise Guide

Alteryx Platform

Alteryx

SAP Predictive Analytics

KNIME Analytics Platform

KNIME

JMP Statistical Discovery

Qlik Sense

Qlik

JMP Pro

Analytica

Lumina Decision Systems

Altair Knowledge Studio

Altair Engineering, Inc.

Pecan.ai

Apollo Plus

EyeQuant

SPV EQ

G2M Platform

G2M Insights

### Data Mining Techniques
Users appreciate Analytic Solver's data mining capabilities for their user-friendly interface and efficient extraction of insights from large datasets. The tool's ability to handle statistical analyses and create predictive models swiftly has been particularly beneficial for users dealing with extensive datasets. Additionally, the quick visualization features have aided in deriving actionable insights promptly.

### Machine Learning Algorithms
Reviewers have highlighted Analytic Solver's machine learning algorithms as a standout feature, particularly praising its support for various algorithms such as PCA, kmeans clustering, and Hierarchical clustering. Users appreciate the ease of use and the ability to perform complex predictions without the need for extensive coding knowledge. However, some users have expressed a desire for more flexibility to explore additional machine learning techniques by incorporating custom code like XGboost. Despite this minor drawback, the consensus remains positive regarding Analytic Solver's machine learning algorithms, with users finding it beneficial for tasks such as neural networks, predictions, and overall machine learning projects.

### Clustering and Classification
Users appreciate Analytic Solver's user-friendly approach to clustering and classification tasks, highlighting the convenience of visual representations and the ability to analyze complex datasets without the need for extensive coding. While some users feel that the interpretation of clustering results could be improved, the overall consensus leans towards the platform's effectiveness in handling clustering and classification tasks efficiently. The option to connect to various data sources and handle big data through Spark cluster integration further enhances the appeal of Analytic Solver for users seeking comprehensive clustering and classification solutions.

### Predictive Analytics
Users consistently praise Analytic Solver's predictive analytics capabilities for their ease of use, accuracy in predictions, and time-saving features. The software's ability to handle complex problems, aid in forecasting, and streamline hypothesis testing has garnered positive feedback from professionals utilizing its predictive analytics functionalities. Additionally, the graphical representations and data segregation options within Analytic Solver have been highlighted as valuable tools for enhancing predictive analytics tasks.

### Forecasting and Regression Models
Users find Analytic Solver's forecasting and regression models to be a valuable asset for their business predictions and data analysis needs. The software's ability to predict data accurately and provide graph representations has been particularly praised. Additionally, users appreciate the ease with which data can be segregated and manipulated within the XL Miner platform, saving them time and streamlining their analytical processes.

### Statistical Analysis
Users unanimously praise Analytic Solver for its robust statistical analysis capabilities. They appreciate its ability to handle various statistical calculations and features, such as PCA analysis, decision tree analysis, MLR, MLE, and KNN. The tool's fast data mining using Excel is highlighted as a significant benefit for users conducting statistical analyses across different variables, particularly in sales modeling. Analytic Solver is perceived as a powerful addition to MS Excel, offering a wide range of statistical functionalities that cater to diverse analytical needs.

Users have made several recommendations based on their experience with the software. They recommend using the software as it solves analytics problems from A-Z in one go. It is considered a good tool for mining smaller datasets and performing statistical analysis and machine learning algorithms. Some users suggest using XL miner as a stepping stone to understanding data mining before moving on to more advanced programming languages like Python or R. They find it beginner-friendly and helpful for gaining foundational knowledge in data mining. To get up to speed with the software, users suggest watching instructional videos that provide guidance and instructions on how to effectively use its features and functionalities. Overall, users find the software useful for completing data analytics tasks quickly and easily, especially for beginners in the field of data mining and those working with small datasets.

Smooth and Precise Working Process: Reviewers have described the working process of the system as smooth and precise, with accurate results. Several users have mentioned that they appreciate the efficiency of the system in providing reliable outcomes.

User-Friendly Interface: The interface of the product has been praised by many users for being user-friendly and easy to navigate. Multiple reviewers have highlighted that the intuitive design makes it simple for both novice and experienced users to operate without any difficulties.

Ease of Use Without Coding: Users have appreciated the ease of use provided by the product, stating that even individuals without expertise in data science or machine learning can perform tasks such as data analysis and predictions. Many reviewers specifically mentioned that they like how XLMiner allows them to perform these tasks without requiring coding skills.

System Lag: Several users have expressed frustration and irritation due to the system lag when processing heavy data. This lag can cause significant delays in their work, leading to decreased productivity and increased frustration.
Lack of Awareness and Knowledge: Some users have complained about the lack of awareness and knowledge surrounding XLMiner. They believe that XLMiner is an underutilized software with untapped potential. Many users are not aware of its capabilities or how to fully utilize it, which limits their ability to leverage the software for advanced data analysis tasks.
Limited Handling of Large Datasets: Users have noted that XLMiner has limitations when it comes to handling large datasets compared to other tools like R or Python. The software may struggle with processing and analyzing extensive amounts of data efficiently, which can be a significant drawback for those working on complex data analysis projects.

XLMiner is a software that has been widely praised by users for its analytical capabilities and its usefulness in solving complex queries. It has been utilized in various fields, including data analytics for research purposes and academic settings like ISB. Reviewers have mentioned that the software has played a significant role in improving corporate performance by assisting employees in enhancing their existing models. Users have found the software to be highly beneficial for data preparation, offering valuable insights, and performing complex calculations with its built-in functions.

One of the standout use cases of XLMiner is its ability to make predictions, particularly in solving transportation problems, which saves users considerable time. Additionally, it has been extensively used for training data sets and machine learning, enabling users to enhance their understanding of data science concepts. XLMiner's capabilities also extend to statistical analyses and sales modeling, making it a valuable tool for individuals in the analytics field or those looking to build a career in analytics without coding knowledge.

Moreover, users have leveraged XLMiner for diverse needs such as gathering insights from diabetic patient data in hospitals, analyzing large datasets, and creating alloys by blending scrap. The software has also proven valuable for optimizing solutions, testing hypotheses, and forecasting with simple Excel data, eliminating the need for coding and saving time. Its seamless integration with Excel and its ability to handle high complexity have received praise from reviewers.

Analytic Solver, a component of XLMiner, has been notably useful for solving MINLP cases and providing near-optimum solutions that can be further manipulated by users. Users have harnessed Analytic Solver's capabilities for simulation optimization and expressed interest in exploring other functionalities such as stochastic programming. While the cost can be prohibitive for some due to complexity or scale, Analytic Solver remains an invaluable tool across industries.

In summary, XLMiner caters to a wide range of use cases such as research analytics, academic applications, corporate performance improvement, data preparation and analysis, prediction modeling, statistical analysis, machine learning, and optimization. It has proven useful in various sectors like healthcare, manufacturing, and education, offering valuable insights and efficient solutions to complex problems.

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer.  RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

Professional

AI Hub

RapidMiner

AdvancedMiner Server

AdvancedMiner Pro

AdvancedMiner Elite

AdvancedMiner

Analytic Solver

Predictive Analytics

Likelihood to Recommend

Data Sources

Data Sharing and Collaboration

Frontline Systems

Analytic Solver Ribbon and Task Pane Interface Overview

A short overview of the Ribbon and Task Pane interface in our Excel Products including: Analytic Solver, Risk Solver, Premium Solver, and XLMiner. See the "Building your first optimization/simulation model" example videos for more detailed.

Alexa Internet (discontinued)

MATLAB

Jefe del departamento de Oceanografia

Analytic Solver 2018-12-11 07:11:33

Microsoft BI (MSBI)

MS SharePoint / SQL

SAP BusinessObjects Business Intelligence

Microsoft SharePoint

Microsoft Access

SAP Data Services

BI Brainz

Solver 2017-10-25 07:20:20

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Limited options

Difficult to work

32 bit

Real problem

Much more effective

Practical to use

Data analysis

Customer service

Easy to use

Supply chain

Added value

External sources

Home

Predictive Analytics Software

Basically the software has been used in applications associated with the optimization of network models that qualify in the category of transport and transshipment models.
This type of models as well as others like the WinQsb are basically used by the department that is under my supervision, and are not commonly used in the organization.
The last situation in which it was implemented was to try to model part of the hydrographic network of the Peruvian Amazon where the nodes of the network were possible locations of fuel supply sites, rotation of personnel and raw material proper to the activity that it was modeling, trying to optimize (minimize) the total costs associated with this activity, which were a function of the relative location existing between the potential nodes.
Different scenarios were simulated where not only the location but the number of eventual nodes were varied, and also different sensitivity analyzes were carried out in order to evaluate their impact on the selected options.

Without the program being "my favorite" it is necessary to recognize that handling in the Excel application environment provides it with a feature with a high added value, compared to other softwares that do not have those characteristics, which makes the handling of data from external sources is easier.
In addition to its inherent quality of general data analysis, I can also highlight the areas in which I have used it (field of linear optimization, simplex method and non-linear optimization, network models) where it has allowed me to model, simulate and analyze different situations with great success.
I could say that the limitations are not the program but mine as a user of it.
Unlike other software that I have used (WinQsb and Lingo, for example), it presents an acceptable customer service.

On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program.
Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.

- It has allowed finding ways to optimize (minimizing costs or times) the field processes involved in various projects.
It has even allowed, in specific cases where it was used for that purpose, to optimize the allocation of resources (people) to work in different jobs that present weekly variations of the activity that these people must perform.
It has allowed the sensitivity analysis of projects to changes in the decision variables related to them, which, and in very dynamic and changing environments, resulted in substantial decreases in money losses.

JMP Statistical Discovery Software from SAS and MATLAB

MATLAB, JMP Statistical Discovery Software from SAS, Alexa

My organisation is using it for optimization problems related to raw material and finished goods for their shipments and production planning purposes. It is used only in my function- sales and operations planning. This tool is useful for the company who wants to build the optimization model in Excel for quick strategic and tactical decisions. Solver is easy to understand and learn. My company is using Solver for product optimization, manufacturing plan and raw material planning. It helps busineses to understand the financial estimates across the distribution network. It helps to provide the feasible solution for production to produce what product at what location in an optimized manner.

Easy to use and learn.
Strong optimization platform for business and supply chain problems which can be modeled in Excel
It can handle multiple objectives and more than 8000 decision variables in a problem.
Lots of tutorial and examples are available to solve the problem

Can not handle stochastic modelling
Difficult to work on the non-linear program
Managing the data is difficult using the big models in the tool

Microsoft Access, Microsoft BI, MS SharePoint / SQL, SAP BusinessObjects BI Platform, SAP Data Services