IT and Telecom

Telecom companies are thriving to be innovative and maximize their revenue by implementing right tools at the right place to harness massive volume, type, format, and velocity of data in order to leverage on actionable insights from that data. Telecommunication companies are managing terabytes of data stored in silos and scattered across the organization. Thus, for faster and easier processing of useful data, telcos are searching for a driven data advanced analytics solution to achieve accurate real-time insights through data mining and predictive analytics. The IT and telecommunications sector has witnessed rapid growth in the past decade, and it is undergoing various transformations. With its large size, the industry exhibits complex contracts, interdependencies of services, disparate spends, and minimal resources and time.

The major advantages of predictive analytics to a telecom company is a rise in sales, improved risk management, a decrease in the operational cost, and analysis of customer behavior. The latest predictions from CFCA 2015 Industry Survey reveals that the telecom operators globally incur an average loss of 13% or USD 294 billion due to the numerous uncollected revenue and frauds prevailing in this industry. This predictive analytics tools can help in identifying the potential threats that are prevailing in the industry to avoid losses.

Additionally, predictive analytics is being utilized across all the telecommunication enterprise to smoothen the supply chain, to understand targets and craft marketing campaign accordingly. For instance, network optimization has become an essential part of the telecommunications industry. Predictive analytics is facilitating the user a better customer experience. Optimizing a cellular network involves making numerous decisions, which are supported by predictive analytics based on analysis of historical data making the business stronger, prone to lower risk, and to achieve better outcomes.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors of predictive analytics software in IT and Telecom are placed into 4 categories based on their performance in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies.” The top 25 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, Microstrategy Incorporated, NTT Data Corporation, Oracle Corporation, Qliktech, Inc., Rapidminer, Inc, SAP SE, SAS Institute Inc, Sisense, Tableau Software Inc, Tibco Software and Teradata Corporation

USE CASES of Predictive Analytics in IT and Telecom

  • Customer Relationship Management: Predictive analytics would help companies to monitor and analyze actions, behavior and habits of existing and potential customers such as their demands, usage pattern, etc. and analyze these vital insights for effective customer relationship management.
  • Customer Churn Rate Optimization: Churn rate usually happens when customers stop using company’s product and services, preferably known as customer attrition. Predictive analytics tools help company to study factors such as customer usage, understanding their sentiments, and conduct behavioral analysis to design predictive model for customer retention.
  • Fraud Analytics: Predictive analytics tools enables organization to analyze complex datasets and events to discover the situations and triggers that can cause fraudulent activity related to payments, identity, and other misconducts.
  • Marketing & Sales Analytics: Predictive analytics is used in marketing to identity and analyze the potential customers as to what products and services could be suitable as per their buying patterns for cross selling.
  • Revenue Assurance: Predictive analytics helps the company to conduct a real-time revenue monitoring to predict and address the revenue loss associated with customer attrition, frauds or any kind of misconduct, to safeguard revenue across all channels.
  • Quality Assurance: Predictive analytics is used to validate business requirements and predict the issue impacting the quality of services, by optimizing testing to critical functions for improved business performance.
  • Price Optimization: Predictive analytics is used to analyze the pricing management model by taking into account all the variables impacting the pricing to calculate profit margin.

Case Studies of Predictive Analytics Software in IT and Telecom

IBM Corporation

Case Study: IBM helped eircom to improve customer churn rate

IBM helped Ireland-based telecommunications service provider “eircom” to improve customer experience using predictive analytics to reduce customer churn rate by automating churn prediction alerts. eircom implemented IBM SPSS analytics solution to gain actionable insights about customer’s journey to predict the churn outcome.

Business Outcome:

  • Reduction of data processing time by 75% through automation
  • Reduction in customer churn rate by 6%

 

Lavastorm Analytics

Case Study: Lavastorm Analytics helped Mobistar to combat frauds

Lavastorm Analytics helped Mobistar, one of the major mobile operators in Belgium, to implement Lavastrom’s Analytics-driven fraud solution, to prioritize and investigate multiple type of frauds related to payments, identity, dealer and communication frauds.

Business Outcome:

  • Accuracy rate for fraud threat detection increased by more than 60%
  • Reduction in fraud detection time from 24 hours to nearly 5 minutes

 

Versium Analytics

Case Study: Versium helped major software company to extend digital campaign

Versium Analytics helped major software company in extending the reach for their digital campaign and generate more leads cost effectively. Versium helped them in mapping consumer attributes of business decision makers using their LifeData warehouse and proprietary matching technology.

Business Outcome:

  • 320% increase in online campaign reach
  • The number of emails and phone numbers used for matching its customer has increased by 80%
  • Increased audience reach with reducing 75% of cost per sales on approved leads

 

Qlik Technologies

Case Study: Qlik helped Qualcomm in streamlining reporting and operation processes

Qlik enabled Qualcomm to optimize and streamline reporting and operation dashboards by deploying QlikView across their 15 business units, for real-time process analysis and improvement of workforce throughput time.

Business Outcome:

  • Saving staff time for reporting process up to 20 hours per month via automation
  • Efficiency of Qualcomm’s ASIC System Test group increased for chip testing lifecycle, saving a day’s time each month

 

TIBCO

Case Study: TIBCO assisted inQuba for enhanced customer experience

TIBCO helped inQuba, a customer experience software provider, in integrating their client’s data with their hosted services for embedded business intelligence and building data visualization reports, to drive improved performance.

Business Outcome:

  • Improved customer experience orchestration
  • Efficient embedded BI and reporting

 

Vizualytics

Case Study: Vizualytics helped Mahindra Comviva for telecom revenue assurance

Vizualytics implemented SMS Hub reporting for Mahindra Comviva, a value-added services provider for mobile operators, with the use of custom visualizations tool, for automating SMS delivery based on route cost, which would help source mobile operators to take low-cost route for message delivery for high profitability and revenue assurance.

Business Outcome:

  • Improved processing for several terabytes of messages logs within 2-3 hours, to boost profitability
  • Maximizing SMS delivery route profitability by identifying low-cost route

 

RapidMiner

Case Study: RapidMiner helped Mobilkom Austria to optimize customer support

RapidMiner used their Data Science platform to help Mobilkom Austria to analyze the incoming customer requests and automatically categorize them into different categories and forward them to concerned support analysts, using text mining technology.

Business Outcome:

  • The customer request categorization time reduced by 70%, for improved ROI
  • Minimized the error rate by 5%, for more than 50 different customer request categories

 

11Ants Analytics

Case Study: 11Ants Analytics helped 2degrees for customer churn rate optimization

2degrees, a mobile telecommunications company in New Zealand implemented 11Ants Analytics solution to identify customers who are at risk of churning, by monitoring various attributes such as time spent on network, customer usage activities and their behavior.

Business Outcome:

  • Boost in customer churn rate identification process by 1275%

 

SAS

Case Study: SAS helped Orange Business Services to improve customer relationship management

Orange Business Services implemented SAS analytics solution to build an improved and effective customer relationship management (CRM) strategy, via tracking sales and marketing campaign effectiveness.

Business Outcome:

  • 30% boost in productivity
  • Improvement in multi-channel sales and marketing efforts

 

SAP SE

Case Study: SAP helped Swisscom AG for next-generation data warehouse management

Swisscom AG implemented SAP BW/4HANA solution for faster reporting and interoperability for their new data warehouse landscape with more than 15,000 users, with self-service analytics capabilities.

Business Outcome:

  • Report execution time improved by a factor of 100.
  • Boost in IT productivity

Dataiku

Case Study: Dataiku helped LINK Mobility Group for revenue optimization

LINK Mobility implemented Dataiku’s data science platform to support their revenue monitoring services with capabilities such as self-documentation, technical and business collaboration, and improved customer dashboards.

Business Outcome:

  • 2X times increase in revenue generation
  • Improved collaboration between various processes

 

Hortonworks

Case Study: Hortonworks helped O2 for managing financial reporting and compliance

O2, a brand of Telefónica UK Limited implemented Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF), for analytics of various business datasets within Q2 warehouses, to manage and mitigate financial and security risks, to meet International Financial Reporting Standards (IFRS).

Business Outcome:

  • Dataset analytics reduced to days from weeks, with almost 20 million records processed daily
  • 9% daily accuracy was achieved to meet IFRS 15’s compliance

 

Qlik Technologies

Case Study: Qlik helped Qualcomm in streamlining reporting and operation processes

Qlik enabled Qualcomm to optimize and streamline reporting and operation dashboards by deploying QlikView across their 15 business units, for real-time process analysis and improvement of workforce throughput time.

Business Outcome:

  • Saving staff time for reporting process up to 20 hours per month via automation
  • Efficiency of Qualcomm’s ASIC System Test group increased for chip testing lifecycle, saving a day’s time each month

 

Vizualytics

Case Study: Vizualytics helped Mahindra Comviva for telecom revenue assurance

Vizualytics implemented SMS Hub reporting for Mahindra Comviva, a value-added services provider for mobile operators, with the use of custom visualizations tool, for automating SMS delivery based on route cost, which would help source mobile operators to take low-cost route for message delivery for high profitability and revenue assurance.

Business Outcome:

  • Improved processing for several terabytes of messages logs within 2-3 hours, to boost profitability
  • Maximizing SMS delivery route profitability by identifying low-cost route

 

Dataiku

Case Study: Dataiku helped LINK Mobility Group for revenue optimization

LINK Mobility implemented Dataiku’s data science platform to support their revenue monitoring services with capabilities such as self-documentation, technical and business collaboration, and improved customer dashboards.

Business Outcome:

  • 2X times increase in revenue generation
  • Improved collaboration between various processes

Predictive Analytics Software in IT and Telecom 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
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 5,00,001 & more
  • 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.

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    • 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.

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    • 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.

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    • 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

    MicroStrategy’s features and algorithms provide enterprises with advanced predictive analytics capabilities. MicroStrategy is useful for deploying models with governed data. It integrates seamlessly with R and can be connected to any source with the use of APIs. Some of its important features include: Scalable integration with R, incorporation of statistics, ARIMA, etc. and minimal IT support required

    Read More
    • Enterprise
    • Virginia, US
    • Founded: 1989
    • 501 to 1,000
  • 12

    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.

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    • Startup
    • New York, US
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
  • 13

    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
  • 14

    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
  • 15

    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.

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    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • 16

    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
  • 17

    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
  • 18

    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.

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    • Enterprise
    • 1,00,001 to 5,00,000
  • 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

    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
  • 21

    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
  • 22

    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
  • 23

    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
  • 24

    Cutting edge projects delivered within deadlines. This software is majorly used by marketing and sales teams. It combines machine learning and artificial intelligence and empowering both, sellers and buyers. It is used to create and implement marketing campaigns and is compatible with most platforms. This software also helps users discover new sources of income.

    Read More
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • 25

    Harnessing advanced artificial intelligence/machine learning to deliver better experiences and enhance business execution at scale. Opera Solutions offers AI solutions is supported by a team of data scientists that are scalable, practical, and transformative. This solution serves various industries such as financial, hospitality, healthcare, travel, retail, and telecommunications. In addition, problems related with scaling Big Data analytics gets solved by the AI/ML platform provided by the company.

    Read More
    • Enterprise
    • New Jersey, US
    • Founded: 2004

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.
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
#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.
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"

(*)(*)(*)(*)( )4
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"

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

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.