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Top 8 Predictive Analytics Tools

AlteryxSAP Analytics CloudRapidMinerDataRobotIBM Predictive AnalyticsSAS Predictive AnalyticsInformation Builders WebFOCUSTIBCO Statistica
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    The most valuable feature for me is integration.Good data transformation.
  2. leader badge
    The ability to collaborate and plan together is great. Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage.
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  4. It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.
  5. We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features.
  6. The most valuable feature is the predictive capability in marketing use cases.
  7. The most valuable features are forecasting and reporting.The most valuable feature is its flexibility and the ability to integrate with SAS.
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  9. I think having so many features built-in is valuable. For example, it has its own scheduler and hooks on to pretty much any kind of data. It also builds its own web pages. It does so much within the software that you don't have to involve other pieces to make it work. It does a lot for one software package, and it enables users. I have users with varying skills. It's a resource for people in our police department that use it. They have no programming knowledge, and they can get reports out of it or build their own. Then our IT department can build a lot more complex things. It's just the ability to get the result out of it quickly is my favorite part about it.

Advice From The Community

Read answers to top Predictive Analytics questions. 542,721 professionals have gotten help from our community of experts.
Evgeny Belenky
Hi community, Here are the rankings reflected in this MQ: 3 Leaders: Microsoft Tableau Qlik 7 Visionaries: ThoughtSpot Tibco Software Oracle Sisense SAS SAP Yellowfin 3 Challengers: Google (Locker) Domo MicroStrategy 7 Niche Players: Amazon Web Services IBM Alibaba Cloud Pyramid Analytics Board Infor Information Builders What are your thoughts on this set of vendors in this category? What would be your choice? Thanks
author avatarClaudine Beron
User

Gartner is pay to play. In other words, if you don't pay Gartner a fee, they won't include your product in the MQ.  


There are many companies in this space, and the larger are represented, spending their marketing dollars for branding using the MQ. 


We use PowerBI, SAS, Matlab, SAP, Tableau, Informatica, which are determined by our customers for best fit. No tool will provide you everything you need, so kick the tires before you buy.

author avatarJairo Willian Pereira
Real User

Unfortunately, this is in Portuguese (pt-BR), but it's worth reading (even via Google Translator). 


That vision can change your all future decisions forever. One day, I translate it into English.


"When Gartner's Magic Quadrant isn't the best option for your company": https://www.linkedin.com/pulse...

author avatarPaul Kellett
Real User

In my experience, I've found Gartner to be of little value in the BI sphere. I believe this is partly due to the very fractured nature of BI offerings and trends with a surprisingly wide range of functionality. It's hard to come up with groups of products/vendors to compare. I would struggle to compare Qlik with SAP, for instance. They satisfy very different but partially overlapping needs in very different ways.


I've been reading Gartner reports in this general area since the mid-90s and often disagreed with their evaluations and found their implied predictions to be frequently incorrect. Again, partly because there are an awful lot of dead BI products covering different elements out there and crystal ball gazing in this space is very difficult.


The BARC offerings are based on surveys of what actually is occurring and tend to offer more value IMO.

author avatarJairo Willian Pereira
Real User

Microsoft PBI grew and improved a lot. Tableau and Qlik are very easy and interesting but, all 3 solutions are very expensive.


If you are starting, you may try using OBIIE (an Oracle free solution for some type of licenses), Pentaho or any version of Hadoop-Like platforms.


It's important to remember that standard GMQ21 represents a general score/vision and in some cases, it's important you re-setup geographical, costs and business variables inside the Gartner platform. 

author avatarDjalma Gomes, Pmp, Mba
Vendor

Not everybody understands Gartner's Magic Quadrant.  The X axis represents completude of vision and the Y axis represents the ability to deliver what is supposed to.


Choices should be made upon your business needs and not Gartner´s opinion.

author avatarRob Thorpe
MSP

As Claudine said, to be included in the MQ you have to pay with a lot of the ranking based on the volume of software sold. 


Not one single tool will cover all use cases within an enterprise (even Gartner say that) and I have customers using various tools. However, ThoughtSpot and its self-service search capability is extremely popular especially via our managed service platform because you can start small and grow. 


IBM Cognos is still popular however it is being challenged by Power BI and ThoughtSpot with Qlik and Tableau still seen as pixel-perfect visual tools. I didn't really come across the others on the list.

author avatarMark Hunt
User

does alteryx not get included?  

Rony_Sklar
Hi community members, I have some questions for you:  What is ITOM? How does it differ from ITSM?  Which products would you recommend to make up a fully defined ITOM suite?
author avatarTjeerd Saijoen
Vendor

ITOM is a range of products integrated together, it contains infrastructure management Network management Application management Firewall Management Configuration management. you have a choice of products from different vendors vendors. (BMC, IBM, Riverbed, ManageEngine etc).


ITSM is a set of policies and practices for implementing, delivering and managing IT Services for end users 


author avatarSyed Abu Owais Bin Nasar
Real User

One is that ITSM is focused on how services are delivered by IT teams, while ITOM focuses more on event management, performance monitoring, and the processes IT teams use to manage themselves and their internal activities.


I will recommend you to use BMC TrueSight Operations Management (TSOM) an ITOM tool. TrueSight Operations Management delivers end-to-end performance monitoring and event management. It uses AIOps to dynamically learn behavior, correlate, analyze, and prioritize event data so IT operations teams can predict, find and fix issues faster.


For more details:
https://www.bmc.com/it-solutio...

author avatarNick Giampietro
User

Rony, ITOM and ITSM are guidelines (best practices) with a punch list of all the things you need to address in managing your network and the applications which ride on them. 


Often the range of things on the list is relatively broad and often while some software suites offered by companies will attempt to cover ALL the items on the list, typically, the saying "jack of all trades, master of none!" comes to mind here. 


In my experience, you can ask this question by doing a Google search and come up with multiple responses each covering a small range of the best practices. 


My suggestion is to meet with your business units and make sure you know what apps are critical to their success and then meet with your IT team to ask them how they manage those applications and make sure they are monitoring the performance of those applications. Hopefully, both teams have some history with the company and can provide their experiences (both good and bad) to help you prioritize what is important and key IT infrastructure that needs to be monitored.  

Like most things in life, there is more than one way to skin the cat. 

author avatarreviewer1195575 (Managing Director at a tech services company with 1-10 employees)
Real User

There are two letters which define a core "difference" in these definition and one which define a common theme.
O for Operations is the first pointer to the IT function of using IT infrastructure to keep business satisfied. That does involve day to day tasks but also longer term planning. Ideally Operations teams DON'T firefight except in rare circumstances, but have information at hand on the health of all objects that could impact business directly or indirectly. Monitoring collects  data, then correlation, analysis helps extract useful information to deduce the situations and take corrective action. The functions available in toolsets may automate parts of that, rare are case where they become 100% automatic.


S points to service delivery to users, hence ITSM is about serving users, mostly. So for many ITSM is fact the help desk or ticket management. Of course within ITSM there's a lot more to it, maybe a lot of analytics of operations data as well as history of past incidents and fixes to them that impacted service delivery in the past. ITSM may also include commitment, so called SLA/SLOs are contracts that describe the quality of service expected and committed to.


M for management means more than tools is needed for both. People are needed even if automation is highly present as all automation will require design and modification. Change is constant.
Management means processes for standardisation of data, tasks and their execution etc. It also means data collection, cleansing, handling, analysis, protection, access and many other aspects without which risks are taken and delivery of service becomes more hazardous.


ITIL and other formalised standards of conduct in the IT world have proven to be vital ways of driving standardisation, and shouldn't be ignored.


With the emergence of modern application landscapes and DevOps there's a tendency to "imagine" doing away with ITOM and ITSM.
Like everything they need to evolve and have over the last couple of decades, but getting some of the basic correct go a long way to ensuring IT serves business as a partner.


author avatarHani Khalil
Real User

Hi,


ITOM is IT Operations Management which is the process of managing the provisioning, capacity, cost, performance, security, and availability of infrastructure and services including on-premises data centers, private cloud deployments, and public cloud resources.


ITSM refers to all the activities involved in designing, creating, delivering, supporting and managing the lifecycle of IT services.


I tired Microfocus OBM (HP OMi) and its good. You have also App Manager from manage engine. 


Predictive Analytics Articles

Ariful Mondal
Consulting Practice Partner - Data, Analytics & Artificial Intelligence at Wipro Ltd
May 25 2021
Following primary steps should be followed in Predictive Modeling/AI-ML Modeling implementation process (ModelOps/MLOps/AIOps etc.) Step 1: Understand Business Objective Step 2: Define Modeling Goals Step 3: Select/Get Data Step 4: Prepare Data Step 5: Analyze and Transform Variables/Feature… (more)

Following primary steps should be followed in Predictive Modeling/AI-ML Modeling implementation process (ModelOps/MLOps/AIOps etc.)

  • Step 1: Understand Business Objective
  • Step 2: Define Modeling Goals
  • Step 3: Select/Get Data
  • Step 4: Prepare Data
  • Step 5: Analyze and Transform Variables/Feature Engineering. Random Sampling
  • Step 6: Model Selection and Develop Models (Training)
  • Step 7: Validate Models (Testing), Optimize and Profitability
  • Step 8: Implement Models and UAT -> Go Live
  • Additional steps for continuous monitoring, audits and enhancement
    • Document Methodology and Models
    • Monitoring and Performance Tracking and improvement of the models and 
    • Make realignment according to the business requirements.
Predictive Modeling/AI-ML Modeling implementation process

I have originally published this on RPubs https://rpubs.com/arifulmondal...

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Prithwis De, PhD, CStatNicely articulated
AtanuChakrabortyPrecise illustration
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