MANUFACTURING

Predictive analytics plays an important part in manufacturing, planning, warranty analysis, supply chain intelligence, and so on. Customers are demanding quality products at lower prices with faster delivery. Hence it has become vital for manufacturers to deliver a differentiated experience throughout the entire customer lifecycle. Through the implementation of predictive analytics, manufacturers can predict the tendency of a prospect to purchase and the level to which a prospect would be accepting the given offers. Additionally, by analyzing group behavior manufacturers can plan logistics and operations that are based on specific demand for a particular type of product in the given region.

With the advent of technologies such as Industrial Internet of Things (IIoT), the predictive analytics is becoming more intellectual empowering the manufacturing industry. Along with the rising demand, the manufactures are also using the capabilities of predictive analytics to enhance their production abilities. Countries such as US and China have put the use of predictive analytics for manufacturing as to improve the manufacturing at global scale. There will be prominent use of predictive analytics solutions in manufacturing vertical for predictive maintenance, asset management, and remote monitoring applications.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors of predictive analytics software in manufacturing are placed into 4 categories based on their performance in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies.” The top 24 vendors evaluated in the data quality tools market include Agilone, Alteryx, Inc, Angoss Software Corporation, Dataiku, Domino Data Lab, Exago, Inc., Fair Isaac Corporation (Fico), Good Data, Greenwave Systems, Inc, IBM Corporation, Information Builders, Inc., Knime Ag, Kognitio, Microsoft Corporation, NTT Data Corporation, Oracle Corporation, Qliktech, Inc., Rapidminer, Inc, SAP SE, SAS Institute Inc, Sisense, Tableau Software Inc, Teradata Corporation and Tibco Software Inc

Use Cases of Predictive Analytics in Manufacturing:

  1. Predictive Maintenance: Method of predicting maintenance requirements in machines on a factory floor using “Predictive Analytics” is called as Predictive Maintenance. Analytics is used on machine operational data by analysing maintenance patterns allowing operators to predict when maintenance will be required on any given unit, hence maintenance can be proactively planned proved to be less costly.
  2. Demand Forecasting: Usage of advanced predictive analytics, such as machine learning and explainable AI, for more accurate and dynamic projections of demand, planning production capacity and supply flows accordingly.
  3. Production Capacity Planning and Management: Predictive analytics is used to optimize production scheduling. Data from number of orders, available raw materials, inventory levels, demand
  4. Inventory Optimization: Using predictive analytics for deriving accurate forecasts from production, suppliers and customers helps in optimizing manufacturing inventory levels.
  5. Workforce Scheduling: Predictive analytics removes much of the time-intensive labour through automation. Combining a precise demand forecast with the number of resources on hand helps a planner develop a more profitable, optimized schedule.
  6. Customer Satisfaction: Predictive analytics is being used by manufacturing to derive a 360-degree view of customers that encompass satisfaction index, customer lifetime value, churn prediction and propensity to buy.
  7. Predictive Quality: Root-cause analysis over past data and deep level of “Predictive Analytics” helps in identifying the reasons behind the substandard batches. Which in turns helps to make prior adjustments to save the under-production batch.

 

Case Studies of Predictive Analytics in Manufacturing:

IBM Corporation

Case Study: IBM’s predictive maintenance solution solved IEC’s reliability issues

IBM helped Israel Electric Corporation (IEC), the primary electricity provider in Israel by offering predictive analytics solutions to keep sustainable and reliable generation of electricity specially during peak demands. The solution used the patterns of circumstances surrounding past power outages, and helped predict and prevent future failures.

Business Outcome:

  • Reduce costs by up to 20% by avoiding the need to restart turbines after an outage.
  • Saved approximately $75,000 in fuel costs per turbine by identifying inefficient fuel usage.
  • Increased the efficiency of maintenance schedules, costs and resources, resulting in fewer outages and higher customer satisfaction.
  • Provides early warning of certain types of failure up to 30 hours before they occur, instead of 30 minutes.

Microsoft Corporation

Case Study: Microsoft’s predictive analytics solution minimized the cost and disruption of maintenance for Rolls-Royce

Microsoft through its Cortana Intelligence Suite for Predictive Analytics solved Rolls-Royce problem of operational anomalies of its 13,000 engines used in commercial aircraft worldwide. The solution used wider sets of operating data and using machine learning and analytics to spot subtle correlations, which optimized various maintenance models and provide insight that improved maintenance plan and help reduce disruption for their customers.

Business Outcome:

  • Provide the most accurate overview of the health of its aircraft engines.
  • Even a 1% saving on fuel costs can save an airline $250,000 per aircraft per year.

SAS

Case Study: SAS’s demand forecasting solution is making the right product available to Asian Paint’s customers

Asian Paint’s struggle to consistently and accurately plan sales demand was solved by SAS solution of “Predictive Analytics”. The demand forecasting solution factored in the deviations from business functions like production, inventory, supply, distribution planning and accurately forecasted future pricing, promotions, events and stock out data.

Business Outcome:

  • Improvement of forecast accuracy over the incumbent process.
  • Flexibility in leveraging impact of seasonality, pricing, promotion & other key events.

SAP

Case Study: SAP helped Daikin to improve customer satisfaction by predicting quality risks

Daikin’s motive to drive customer excellence through proactively detecting air-conditioning installation quality risks was achieved through SAP’s Predictive Analytics solution. The solution optimized and renovated quality assurance (QA) process for AC units using Machine Learning and image recognition.

Business Outcome:

  • Accurate prediction of potential installation issues with air-conditioning (AC) systems.
  • Prioritized installation by quality risk, enabling Daikin engineers to maximize QA efficiency with minimal effort and increase customer satisfaction

Mu-Sigma

Case Study: Mu-Sigma helped a leading consumer goods manufacturer in reducing raw material inventory levels

A manufacturing excellence group was aiming to reduce the overall inventory levels include raw material, packaging material and finished good inventories in distribution centers. Mu-Sigma developed predictive analytics capability within factories by creating a detailed continuous improvement framework for inventory reduction.

Business Outcome:

  • Enabled lower inventory at factory levels
  • Ability to scale the solution framework globally

QlikView

Case Study: QlikView offered “single source of truth” to drive strategic decision making

Ramkrishna Forgings a manufacturing company was facing challenges related to access of information through multiple sources and make intuitive decisions. QlikView integrated its analytics platform to provide “single source of truth” which helped in strategic decision making.

Business Outcome:

  • Improved data accuracy by up to 40%
  • Reduced IT support for business intelligence by up to 90%

HPE

Case Study: HPE solve HIROTEC problem of unplanned downtime

HIROTEC Group, one of the largest private automotive manufacturing company wanted to implement advanced technologies to tackle the unplanned downtime in its manufacturing facilities. Hewlett Packard Enterprise (HPE)’s predictive analytics solution captured data from eight CNC machines and performed real-time visualization of entire production facility.

Business Outcome:

  • Gained real-time visibility into its business operations
  • Accurately predict failures in critical systems like robotic arms

Tableau Software

Case Study: Tableau advanced analytics brought operational efficiencies for Tesla

Elon Musk’s goal to produce 1 million Tesla cars by 2020 failed to meet its projections more than 20 times in the past 5 years. As part of ongoing effort to tame chaos and improve manufacturing efficiency, Tesla turned to Tableau for advanced data analytics capabilities for root-cause investigation, quality defect tracking etc.

Business Outcome:

  • Tesla could easily trace back the production defects and rectify the same in no time
  • Improved operational efficiencies by predicting the production count and yield ratio

Tibco Software

Case Study: Brembo used TIBCO’s predictive analytics solution to build a Smart Factory

Brembo an Italian-based braking systems manufacturing company wanted to digitally transform and develop a smart factory. Tibco offered an analytical solution for manufacturing, process optimization control, purchasing, quality control, and R&D. The solution was used for cluster cooling curves, predictive maintenance, and noise analysis and testing.

Business Outcome:

  • Provided 360-degree view to organizational processes thus enabled better command and control
  • The advanced R&D department used the platform to develop KPIs for noise analysis and testing

RapidMiner

Case Study:  A leading silicon wafer manufacturer was under increasing pressure of quality requirements with skyrocketing demand of its wafer. One such critical quality process is wafer polishing. The more precisely the manufacturer can determine how much abrasion will be necessary to achieve the desired result, the less waste of silicon will occur (from overpolishing) and the less likelihood of a defect occurring (from underpolishing). The manufacturer is using RapidMiner to build machine learning models that predict exactly how much polishing will be needed for each wafer.

Business Outcome:

  • Improved product quality and product yield
  • Achieved better financial results

Predictive Analytics Software in Manufacturing Quadrant

Comparing 169 vendors in Predictive Analytics Software across 206 criteria.

Find the best Predictive Analytics Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Predictive Analytics Software tools.
  • Product Quality and Reliability
    • Support for Custom Data Connectors
    • Custom Scripting Language
    • Deployment Type
      • Cloud
      • On-Premises
      • Hybrid (Deployment type)
    • Target Users
      • Database Administrators
      • Business Analysts
      • Data Scientists
      • Non Technical Users
      • Consultants
      • Application Developers
    • Support for Languages
      • Support for R
      • Java
      • Python
      • Scala
      • Lua
      • Ruby
      • Bash
      • Matlab
    • Delivery Mode
      • APIs
      • Separate Platform
      • As a Service / Connector Free
    • Add-on Funtionalities
      • Machine Learning / AI
      • Self-Service
      • Streaming / Real-Time
      • Mobile Support / Mobile BI
      • In-Memory
  • Product Features and Functionality
    • Integration with Big Data Frameworks / Data Stores
      • Hadoop
      • Kafka
      • Apache Spark
      • Steam
      • Hive
    • Enterprise Features
      • Analytics Workflow
      • Shared Data Sources
      • Server Side Data Processing
      • Cloud Hosted Data
      • Auto-scaling
    • Licensing
      • Licensing - Data Volume
    • Costs & Units
      • Cost - $ per license
      • Hybrid (Please specify)
    • Core Features
      • Visual Analytics Design / Code Free
      • Data Investigation
      • Statistical Modelling
      • Times Series Exploration
      • Root Cause Analysis
      • Advanced Condition Prediction
      • Predictive Grouping
      • No. of Third Party Data Providers
      • Natural Language Processing (NLP)
      • Event Detection
  • Breadth and Depth of Product Offering
    • Data Management
      • Data Preparation (Data Management)
      • Interactive Visualisation
      • Real Time Dashboarding
      • Static Visualisation
      • Report Generation
      • Data Blending
      • Report Automation
    • Data Collections
      • Customer Data
      • Transaction Data
      • Geo Spatial
      • Demographic
      • Location [Pincodes]
      • Firmographic
      • Marketing Data
    • Use Cases
      • Business Intelligence
      • Data Visualisation
      • Customer Response Modelling
      • Demand Forecasting
      • Data Preparation
      • Operations Management
      • Fraud Detection & Prevention
      • Pricing Elasticity Analysis
      • Location Intelligence
      • Risk Management
      • Customer Data Platform
      • Sales and Marketing Management
      • Network Management
      • Workforce Management
      • Supply Chain Management
      • Web and Social Media Management
      • Financial Management
      • Root Cause Analysis (Use case)
      • Predictive Maintenance and Asset Management
      • Event Detection (Use case)
    • Services Offered
      • Support and Maintenance
      • Custom Predictive Algorithms
      • Training
      • Implementation
      • Requirement Definition
      • Managed Services
      • Diagnostics
      • Report Authoring
      • Certification
      • Consulting

TOP VENDORS

  • 1

    SPSS Modeler reduces the complexities involved in the transformation of data by providing easy-to-use models. SPSS Modeler is extensively used across various languages to analyze data from multiple databases. It majorly helps in analyzing data to predict customer churn rates and data sets. The application can be used across various industry verticles.

    Read More
    • Enterprise
    • 1 to 50
  • 2

    Rapid Miner Studio enables users to create complex predictive models by using a drag and drop visual interface. It has a library of 1500+ machine learning algorithms and functions that can be used to build models specific to any situation. It also offers templates for common cases such as prediction of customer churn, fraud detection, predictive maintenance, etc. It provides proactive recommendations at each step for guidance. Rapidminerhelps increase productivity across teams.

    Read More
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • 3

    SAP Predictive Analytics enables users to create, deploy and maintain various predictive models. These on-premise tools can help users anticipate future behavior and outcomes and better guide the decision-making ability to help grow the business. SAP Analytics Cloud works alongside the BI and planning tools to visualize, plan and predict context. The tool uses in-memory technology and machine learning to uncover relevant predictive insights in real-time.

    Read More
    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • More than $100 BN
    • 501 to 1,000
  • 4

    Oracle’s Database Platform allows the use of seamless predictive analytics within the platform, giving it an edge over other vendors. Oracle Advanced Analytics helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. It helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies.

    Read More
    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 5

    Angoss uses data and predictive modeling to present insights that help users make better decisions faster. It uses advanced statistical algorithms for the prediction of outcomes. These outcomes are generated across all stages of model cycles. It helps improving predictive analytics for organizations looking to monetize their data.

    Read More
    • Startup
    • Ontario, Canada
    • Founded: 1984
    • Below $10 MN
    • 1 to 50
  • 6

    SAS Advanced Analytics provides users with better response time and faster insights provided by its in-memory analytics. SAS Advanced Analytics helps organize data in a structured manner, making it easy to understand and present. It enables the user to analyze past, present, and future models using quality-tested algorithms. Automation of large-scale forecasts is also possible without the need for high levels of technical knowledge.

    Read More
    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • 7

    Use the full potential of information to unleash the capability of the human resources of an organization.

    • Enterprise
    • Washington, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
  • 8

    Information Builders WebFocus RStat is a cost-effective, robust, intuitive, and accurate predictive analytics platform. WebFocus can help organizations by extracting meaningful insights from data of any kind. It creates interactive dashboards to consolidate information which increases the chances of actionable insights to be used in the everyday conduct of data-driven businesses.

    Read More
    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
  • 9

    FICO Decision Management Suite is an integrated environment for development that is compatible with web as well as mobile applications. It is a platform that handles real-time streaming of data including its visualization, indexing, search, and pre-processing, based on rules that are defined in advance. The company's USP is the ability to provide models based on precise customer requirement to reduce time and cost.

    Read More
    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
  • 10

    Alteryx provides information science that can viably and productively tap into a code-free and code-accommodating easy-to-use application. The software requires no coding, however, it is coding friendly for those interested. It has a fantastic interface without code for both analytics modelling and advanced modelling with code. It enables easy deployment and management of analytic models, flexibility, agility, and high speed. It supports visualization tools and all data sources. Alteryx helps find, manage, and understand all sort of analytic information of an organization at a high speed, thereby making better decisions and increasing productivity.

    Read More
    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
  • 11

    Rapid assembling of predictive data that changes crude information into a business affecting service. This product has advantages for all types of users: analytics leaders, data scientists, IT professionals, and business analysts. It helps analytics leaders in terms of managing productivity, collaboration, coordination, and measuring team growth. Data scientists benefit in terms of automation, modelling, flexibility, and reproducibility. IT professionals gain advantages pertaining to scalability, code & integration, operationalization, and data governance; while business analysts obtain data access, preparation, exploration, and automated ML benefits.

    Read More
    • Startup
    • New York, US
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
  • 12

    GoodData is a cloud-based platform with high SLA availability and maintenance. It allows for easy incorporation of already existing data warehouses. It allows the platform to be integrated into web or mobile applications. It is one of the most dominant cloud data warehouse that meets most versatile analytics platform requirements.

    Read More
    • Startup
    • California, US
    • Founded: 2007
    • Below $10 MN
    • 51 to 100
  • 13

    Extensive set of cloud services that enables associations to address business problems, construct, oversee, and convey applications on a massive, worldwide system utilizing various tools and frameworks. Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.

    Read More
    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • 14

    Natural language search and AI-powered bits of knowledge discovery make creating bits of knowledge a characteristic, instinctive, and intuitive experience. Spotfire has strong built-in predictive analytical methods that are smart, yet easy to use. Its intelligent data wrangling helps you clean and modify data, and auto-records it so you can edit it later as well. It is flexible and can scale secured documents as well.

    Read More
    • Enterprise
    • 1,001 to 5,000
  • 15

    AXON Predict permits OEMs and enterprises to catch, screen, and break down information. AXON Predict is a product suitable for OEMs as well as large enterprises since it collates, scrutinizes, and analyzes data across networks and provide valuable visual analytical insights to users. This gives users real-time analytics to work with in order to enhance innovation and reduce costs.

    Read More
    • Startup
    • California, US
    • Founded: 2008
    • 101 to 500
  • 16

    NTT Data offers effective solutions that supplement the decision-making process in an organization. This is possible across multiple business platforms and across different development and deployment capabilities. With the help of a comprehensive analytics and business insight methodology, NTT Analytics Solutions can change a client organization into an information-driven pioneer.

    Read More
    • Enterprise
    • 1,00,001 to 5,00,000
  • 17

    Teradata analytics provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.

    Read More
    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • 18

    Kognitio empowers data analysts and business clients to run a large number of complex questions simultaneously, providing a competitive edge to large-volume business data activities. Kognitio is an immensely flexible platform that has the strong feature of viewing images and executing complex manipulations on images using standard SQL queries. It can be deployed on both, an existing framework clusters or on a complete standalone one, on-premises or on cloud.

    Read More
    • Startup
    • Bracknell Forest, UK
    • Founded: 1987
    • Below $10 MN
    • 51 to 100
  • 19

    KNIME is an open source software and it helps create data science applications and services. Being open, intuitive, and able to integrate new developments, this platform makes reusable components accessible to all the users and helps understand data science workflows. The software provides actual data analysis as well as a number of processes and has productivity funtions to help operations.

    Read More
    • Startup
    • Zurich, Switzerland
    • Founded: 2008
    • Below $10 MN
    • 1 to 50
  • 20

    Sisense makes the analytics process easy for users right from the preparation of data to the creation of insights. Sisense is an intelligence software known for its agility and easy implementation. It can be used by varied companies. This platform offers a range of business analytics features. It is designed to make complex data preparation and visualizations simple to make better business decisions and intelligent strategies.

    Read More
    • Startup
    • New York, US
    • Founded: 2004
    • Below $10 MN
    • 501 to 1,000
  • 21

    Domino delivers predictive models using ML and AI techniques capturing all the dependencies of experiments. It is perfect for models across cloud databases as well as distributed systems. Powering model-driven organizations to rapidly create and convey models that drive business impact.

    Read More
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • 22

    Cloud-based Predictive Intelligence is used to generate insights into the behavior of customers and provides recommendations based on these insights to enhance revenue generation. Delivers reliable and customized experiences over each interaction point through a flexible, adaptable, and versatile stage that addresses enterprise needs.

    Read More
    • Startup
    • California, US
    • Founded: 2005
    • $11MN to $50MN
    • 51 to 100

TOP REVIEWS

Looking for Predictive Analytics Software? Get help
General Manager,Company Name Classified
General Manager, Company Name Classified
#1 in Predictive Analytics Software 7 Reviews

“Decision making made easier with this data analysis program."

(*)(*)(*)(*)(*)5

The software’s ability to organize and use variable for tool application is what works best for me.  Evaluation of the behavior of dependent and independent variables for linear regression analysis makes it easy to compile reports, further enabling easier decision making. It is also extremely user-friendly, with each icon distinctly visible. If I had to pick an area of improvement, I would say it is the quality of its graphics. They do not seem very professional and perhaps they can be updated to seem so.

I believe that this is an ideal software for organizations lookimg to systemize its data and work using dependent as well as independent variables. It works excellently to present inferential statistics to help organizations grow. However, if you’re looking for exceptional graphics, then this might not be the one for you.

Other,Company Name Classified
Other, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Navigate through Journey of Hypotheses"

(*)(*)(*)(*)(*)5
Granted, companies are looking for vertical solutions aiming directly at their specific applications while RapidMiner, albeit powerful, is a platform. In addition to current communication by RapidMiner and the enthusiastic community, efforts must be spent by both sides, the customers and the solution providers like us, to practice, solve problems, and build up confidence so that gaps can be bridged.
Other,Company Name Classified
Other, Company Name Classified
#11 in Predictive Analytics Software 7 Reviews

“Efficient and Dependable"

(*)(*)(*)(*)(*)5

This is a highly dependable software that also has some great features. Some of these features include

  • Easy access to data.
  • Presents data in the required format, after using various metrics.
  • Creates good dashboards.
The only drawbacks I could find were that the time taken to set up is high and it could do with a better user interface
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#1 in Predictive Analytics Software 7 Reviews

“A great way to professionally build and manage databases"

(*)(*)(*)(*)(*)5
One of the most revolutionary software, especially in my field, where I need to use multiple statistical variables to analyze databases of chemical elements. It is flexible as well, so I can convert databases of other software into the IBM SPSS format and they work better! For me, the best feature is its ability to filter and modify variables as per what I need. It is extremely versatile and perfect for my daily work requirements. Since it is quite a complicated software, it can get a bit tedious to understand all its functionalities, which may require a certain level of computer science knowledge. I had to take up an intensive course to understand it completely. This is possibly the best software for management and analysis of databases. It is extremely effective in creating variables and I dare say any company that uses it is bound to see a noticeable enhancement in employee performance.
General Manager,Company Name Classified
General Manager, Company Name Classified
#9 in Predictive Analytics Software 6 Reviews

“One of the best software in the market"

(*)(*)(*)(*)(*)5
The best thing I like about this program is that it is so natural to utilize and is highly valuable. It takes a lot of information and can figure future results with these determined dangers, in this way making potential future achievement.
Other,Company Name Classified
Other, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Data Science Capabilities Without The Investment In Data Scientists"

(*)(*)(*)(*)(*)5
SAP is the only vendor that I work with that is truly partnering with me year-round. We discuss use cases and how to best leverage the SAP product to address these use cases. The ease of use. Little data preparation is required. My team are subject-matter experts in sales data. The ability to quickly (same day) turn around a model and assess the viability of the model is unmatched by any other tools and has positioned my team of non-data-scientists as data science thought leaders! The visualizations have not kept up with the industry. While the output is very understandable, we still download the output to excel or Tableau. Our understanding is that SAP Analytics Cloud will be the platform we will need to eventually migrate to, and its visualization capabilities are excellent. My team was not involved directly with the purchase. Sales operations volunteered to participate in the evaluation and we gave IT a solid I like it for the following: • Drive innovation • Enhance decision making • Drive revenue growth • Create internal/operational efficiencies I like it since it provides direct access to specialists and engineers. At SAP Sapphire customer show, we have always been able to meet with the product development leadership and provide input into product direction as well as understand the roadmap.
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Worth the price"

(*)(*)(*)(*)(*)5
This software has a good visual interface. Connectivity with different database seems good, so far. I have not tried the integration part, but there should not be any problem about that as well. Overall it seems like a good investment for organization predictive analytics need.
Vice President,Company Name Classified
Vice President, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Need customization"

(*)(*)(*)(*)( )4
It would be good if the educational version could be extended to students and teachers and be able to perform data mining in a work team, such as in a course, or in a postgraduate or doctorate subject, with better storage options in the cloud.
Vice President,Company Name Classified
Vice President, Company Name Classified
#7 in Predictive Analytics Software

“World class visualization"

(*)(*)(*)(*)(*)5
I love the data visualization and the capacity to parse enormous datasets in this software, its just world class. Tableau is extraordinary for delivering group dashboards that can be utilized for strategic execution on tasks.
General Manager,Company Name Classified
General Manager, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Good Graphics"

(*)(*)(*)(*)( )4
Comfortable, intuitive working environment, with help during the development of the process. Good graphics, and options to visualize the result of the process
Other,Company Name Classified
Other, Company Name Classified
#21 in Predictive Analytics Software 6 Reviews

“Very easy, very accurate"

(*)(*)(*)(*)( )4
KNIME isn’t a big firm but its number of contributors drive the platform forward with image processing and bioinformatics capabilities. The analytics platform provided by the company is easy to use and download. There are more than 1,000 analytical and model building operators. The vendor offers KNIME Server for sharing workflows and remote execution of model building workflows and advanced security.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#9 in Predictive Analytics Software 6 Reviews

“Easy to interpret data"

(*)(*)(*)(*)( )4
The best thing about this application is that it is so natural to work with. You simply include the information; somewhat enchantment occurs and bam! you have precisely what you were searching for.
Vice President,Company Name Classified
Vice President, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Good Product with Some Bad Tooling Options"

(*)(*)(*)( )( )3
Competent enough software, but not easy to use. I also came across some issues in AI tooling. Though Microsoft seems to be putting in enough work in the platform, I feel that it is overlooking basic deployment and infrastructure issues. I would, however, buy this product for the following features: • Better customer data analysis for relation building • Faster Decision Making • Innovation
Other,Company Name Classified
Other, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Azure’s Big Data and Interactive Dashboards Truly Excel"

(*)(*)(*)(*)(*)5
Microsoft’s AZURE provides big data and interactive dashboards along with best-in-class visualization and deep dive reports. It is also very efficient allowing us to investigate data much faster compared to our older software, which has enhanced productivity.  The wide range of data options has given us the flexibility to serve our diversified customer base more efficiently. It’s cloud-based environment provides more agility with less time taken for setup and installation.
Project Manager,Company Name Classified
Project Manager, Company Name Classified
#18 in Predictive Analytics Software

“Capable Software with Good Visual Appeal"

(*)(*)(*)(*)(*)5
Teradata analytics has a good interface offering a better visual appeal that is easy to understand. It provides good scalability in terms of applications and is compatible with SQL and Python. The only downside is the documentation needed to gain expertise in performing various complex tasks.
Internal Analyst,MnM
Internal Analyst, MnM
#29 in Predictive Analytics Software

“Easy and rapid extraction of insights"

(*)(*)(*)(*)( )4
Signal Hub is an end-to-end big data analytics platform for large enterprises. It enables rapid extraction of insights and intelligence from large volumes of data, including different types and formats of data. Signal Hub delivers unmatched value to data scientists and analytics professionals by shortening the analytics development time and promoting the understanding and reusability of existing analytic components, thereby allowing organizations to more effectively meet the growing demand for useful big data insights across all business functions and employee levels.
Internal Analyst,MnM
Internal Analyst, MnM
#18 in Predictive Analytics Software

“Good analytic data platforms"

(*)(*)(*)(*)(*)5
Teradata Corporation is a provider of analytic data platforms, applications, and services, and delivers embedded Predictive Analytics that helps marketers to easily apply forward-looking models to data-driven marketing efforts. It also offers features such as, Use model scores as selection criteria for campaigns and select/manage, which models are being used to score customers for campaigns.
Other,Company Name Classified
Other, Company Name Classified
#24 in Predictive Analytics Software

“Poor Software with Basic Functionality"

(*)(*)(*)( )( )3

The software does not provide any templates that can make work easier. Even email or best practice templates could help.

Other,Company Name Classified
Other, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Cloud based predictive Analytics"

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Microsoft offers a cloud solution for predictive analytics which is known as Microsoft Azure ML. This solution is a combination of Azure ML and Cortana Intelligence Suite capabilities. It is a user-friendly platform as it can connect to number of database and enables users to investigate and visualize data with better understanding, speed, and productivity. It offers Big Data solutions with intuitive reports, compelling visualizations, and interactive dashboards. It enables a user to create, schedule, and orchestrate ETL/ELT (Extract, Load, and Transform) workflows through the hybrid data integration service.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#27 in Predictive Analytics Software

“Great Product"

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The product team met with us at the time of installation which helped the entire process move smoothly. Even after installation the team continued to provide exceptional service. Product met all expectations with only minor issues. Which is a good thing considering they have horrible documentation. It’s all over the place and can do with a major overhaul. The stellar support not only makes up for the lack of documentation, but also makes this a product to recommend.