XLMiner Description
The XLMiner® Platform has been rebranded as Analytic Solver® Data Mining, which serves as an intuitive and high-capacity solution for data visualization, forecasting, and mining within Excel. This tool allows users to delve into their data, visualizing and transforming it while utilizing both traditional statistical techniques and advanced data mining methods, including classification and regression trees as well as neural networks, alongside popular forecasting time series methods. It has the capability to sample data from nearly any database, such as Microsoft’s Power Pivot, which can manage over 100 million rows, while also offering features to clean, transform, and partition data into training, validation, and test datasets. The performance and capacity of this tool competes with that of high-end enterprise data mining software that often comes with a price tag tenfold higher. In addition to the recent upgrades to the features and performance of the platform, users benefit from extra offerings with Analytic Solver Data Mining, which includes complimentary access to its cloud version and no-cost usage of optimization and simulation tools. As a result, this platform not only enhances data analysis efficiency but also provides significant value for users looking to leverage advanced analytics.
XLMiner Alternatives
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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SKU Science delivers a fast and intuitive solution for sales forecasting and performance tracking. Implement your demand planning process in as little as two days! Created by seasoned experts, it’s specifically designed for operations managers, S&OP managers, supply chain professionals, and demand planners. With 644 statistical combinations, the platform generates highly accurate and tailored sales forecasts at any level. For even greater precision, AI models can be trained on your unique dataset. Automatically calculated KPIs highlight the most critical items, helping you focus on what matters most for your supply chain and business success. The platform’s operational dashboards refresh every cycle, ensuring efficient activity monitoring and data-driven decision-making. Combining advanced capabilities with ease of use, SKU Science is trusted by clients across manufacturing, food and beverage, healthcare, retail, and e-commerce sectors.
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Vortini
Predicting sales is a crucial yet often difficult task, especially during times of organizational change. It becomes essential to merge present pipeline information, past trends, and behavioral insights to identify inaccurate forecasts and propose alternative strategies. Delve into your CRM to uncover typically overlooked deal information, allowing you to create a comprehensive history of forecasts, even if records have not been meticulously maintained. Automatically enhance your forecast using a suggested blend of deals derived from both current and past data. While the sales team projects their upcoming period, the finance department anticipates the next fiscal quarter and year, eliminating the need for separate forecasting systems. Sales is not merely about the numbers; effective analytics are necessary to comprehend and capitalize on potential opportunities, pinpoint areas that require improvement, and enhance sales performance. In a competitive landscape, it's imperative to not only understand your clients but also to analyze their forthcoming actions and provide them with the most appropriate offers. Continuous adaptation and a fine-tuned approach can lead to sustained success in this ever-evolving market.
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Weka
Weka comprises a suite of machine learning algorithms designed for various data mining activities. This platform offers functionalities for tasks such as data preparation, classification, regression, clustering, association rule mining, and data visualization. Interestingly, Weka is also the name of a flightless bird native to New Zealand, known for its curious disposition. The pronunciation of the name and the sounds made by the bird can be found online. As an open-source software, Weka is available under the GNU General Public License. We have created several complimentary online courses aimed at teaching machine learning and data mining through Weka, with video resources accessible on YouTube. The emergence and implementation of machine learning techniques represent a groundbreaking advancement in the realm of computer science. These techniques empower computer programs to systematically analyze extensive datasets and discern the most pertinent information. Consequently, this distilled knowledge can facilitate automated predictions and accelerate decision-making processes for individuals and organizations alike. This intersection of nature and technology showcases the fascinating ways in which we draw inspiration from the world around us.
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Pricing
Pricing Starts At:
$2495 one-time payment
Integrations
No Integrations at this time
Company Details
Company:
Frontline Systems
Website:
www.solver.com/xlminer%C2%AE-platform
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Product Details
Platforms
Windows
Types of Training
Training Docs
Live Training (Online)
In Person
Customer Support
Business Hours
Online Support
XLMiner Features and Options
Sales Forecasting Software
Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis
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