IBM Watson Analytics - Review 2022

IBM Watson Analytics (which begins at $xxx per user per year for the Plus edition) has gained broad recognition in the cocky-service concern intelligence (BI) space thanks in part to an always-present marketing entrada. All of the buzz is deserved because this application is a winner with its technical capabilities. Its highly avant-garde analytics engine works with a stellar natural language querying platform to make BI every bit easy to learn every bit it is powerful. When you start using IBM Watson Analytics, it'due south clear that the machine learning (ML) and artificial intelligence (AI) behind it is an impressive achievement. The assistant serves the roles of both retainer and guide for users with varying levels of data science and information visualization expertise. IBM Watson Analytics gets our Editors' Choice designation forth with Microsoft Power BI and Tableau Desktop.

The guidance prompts in IBM Watson Analytics are very helpful for users who are new to analytics and to seasoned business organization analysts who would rather focus on getting rapid feeds of insights rather than on how the data is cooked. All the same the tool enables those with deep data science skills to skip past the prompts and move directly to deep dives and decision trees. It'southward a fine line to serve users on the entire spectrum of skills well, but IBM Watson Analytics pulls it off better than expected.

There are 32 connectors to ease apply of information from those sources. A sample list of business connectors includes spreadsheets (CSV, XLS, TXT), Eventbrite, Hubspot, OneDrive, Paypal, SugarCRM, SurveyMonkey, and Twitter.

It's interesting that IBM Watson Analytics lists a Twitter connector for use, but users must access IBM Watson Social Media for the residual of the social tools. This is where I found numerous connections to all social media (including Facebook, of course) equally well equally to blogs, comments, forums, and videos throughout the social media realm.

IBM Watson Analytics also lets you direct query a variety of databases including Cloudera Impala, Microsoft Azure, MySQL, Oracle, PostgreSQL, PostgreSQL on Compose, Structured Query Language (SQL) Server, Sybase, Sybase IQ, and Teradata.

IBM Watson Analytics - Homepage Dropdown Menu

Getting Started

While this is a total cocky-service BI tool, IT tin can lend a hand in loading company data to simplify things further for business users and to also ensure compliance and security rules are fix as It would take them. However, users can hands load data themselves providing they have the credentials to access information technology. Users are then prompted on setting rules.

Users tin can too shape and cleanse the data prior to uploading it past clicking the "Shape Before" button rather than the "Upload Now" push, which are both choices subsequently clicking "+ New data" (the Add Data button) on the IBM Watson Analytics homepage. Users can depersonalize customer names and other personally identifiable information (PII) to comply with privacy rules in the "Shape Before" function prior to upload. I used the "Shape Before" button to motility through the data and delete empty rows, but y'all can likewise clean up addresses and dates and other information to achieve conformity which aids in the assay.

In other words, "Shape Before" lets user easily clean and prep the data with only a few clicks prior to running an analysis on information technology. The system prompts the user with suggested cleaning and prep tasks that particular data set appears to the organization to need. The simplicity in this makes it easily undervalued when you consider that data prep typically takes more time than any other pace in the analytics processes—yet here it is a affair of prompts and clicks and you're washed.

After all data sets are added by the user or Information technology section, the user interface (UI) shows the data sets in the user's option of icons or a table. Either fashion, the data sets shown there can come from user uploads, data accessed through one or more IBM Watson Analytics' connectors, data sets that accept been combined by the user within the system, or information sets from IBM Watson Social Media (a social media analytics tool accessible from within the IBM Watson Analytics tool).

Note that IBM Watson Analytics does not do streaming analytics; such is mutual with the Cyberspace of Things (IoT) information and other sources and systems where data is streamed and analysis must be instant. However, in IBM Watson Analytics, data tin be refreshed frequently, as often every bit every v seconds or and then, for a near-real-time read. That will suffice for many employ cases and certainly for the use cases IBM is aiming for: visualization, patterning, and social media point-in-time assay. It cannot be used for whatever employ instance that requires actual real-time, streaming analysis. That may exist a major shortcoming for some users.

In short, I found the data setup to be simple and straightforward and well-suited to the typical business organisation analyst'due south skill level likewise every bit inside the reach of most other concern users. The system is highly intuitive, but information technology can be intimidating to beginners nonetheless. Regardless of skill level, I highly recommend viewing the tutorials first. Although near users volition be able to poke and feel their mode through the tool just fine, the tutorial will get you up and running faster, specially if you haven't used a self-service BI tool before. If yous are experienced in information wrangling and analytics, so it'due south still a keen fourth dimension-saver to view the tutorials initially.

IBM Watson Analytics - Personal Dashboard

The Discovery Process

The user tin motion to the discovery phase (that is, running the analytics) in one of two ways: either past clicking on a specific information set or by typing in a question in the question bar. Clicking a specific information fix provides prompts chosen "Starting Points," which deliver insights IBM Watson Analytics has calculated to likely be of the most interest to you lot. Yes, that means instant insights delivered via unremarkably used and prebuilt algorithms.

If yous blazon a question into the question bar instead, then the system looks for that information in all of the information sets you have added/loaded rather than in 1 selected data set. You tin can too click the Help tool to learn how to pose a question to the system.

I constitute that querying this tool works very well with natural language, meaning I could type in a question as I would inquire a colleague and then get insights and suggestions that fit. I could as well blazon in a series of fundamental words and get back the same thing.

For instance, I typed "What types of products are more pop right around the Blackness Friday period?" and then typed equally a divide question "products, November." In answer to both, the arrangement pulled up several suggested questions and data sets in social club of relevancy. I could and then recall insights past clicking the suggestion that all-time fit. I could likewise explore each suggested starting point at my leisure wherein I would find visualized insights and a scrollable infographic for rapid consumption. You lot can even change the visualization form with a couple of clicks.

IBM Watson Analytics - Recommended Starting Points

It'due south hither in the visualization drill-down that I stumbled a scrap and why I recommend watching the tutorials first. I thought I had to go dorsum and enquire another question, to repeat the unabridged procedure, but to add some other factor (input) to my question. It was only after a company rep walked me through the demo that I learned I could practice that via the "Color Value" part—which is found in a bar at the lesser of the visualization. Large "duh moment" at that place, just it reminded me that even though IBM Watson Analytics is highly intuitive, it'south a lot like getting a new mobile phone and awkwardly figuring out the commands only to wonder later why you found any of information technology difficult. Yeah, this was exactly similar that. Intuitive and easy but only after I did some head scratching and mumbled aloud, "Wonder where they put the tool to do XYZ?" Even so, compared to nearly of its competitors, IBM Watson Analytics is a cakewalk to utilise.

For more than circuitous querying, type questions that begin with, "What drives X" or "What predicts X," which will take you to much deeper dives and intricate decision copse. I constitute this to be highly effective in discovering insights that might otherwise have taken me much longer to fifty-fifty figure out what to enquire of the data.

The Display function—the tertiary step in this system's process—lets y'all choose visualizations, relieve them, and/or publish to a dashboard or an infographic that you build in a couple of clicks or elevate-and-drops. It is designed to let you easily share the insights yous've establish with others then y'all can collaborate on actions to take next, or on expansions or refinements to be made in the analysis.

IBM Watson Analytics - Where to Ask a Question and Suggested Questions

Pricing and Versions

There is both a free trial and a complimentary edition with limited features bachelor. Those that are testing the system are automatically steered to the trial edition, which offers 1 megabyte (MB) of storage. Users can determine to purchase or move to the more express gratis edition at the stop of the trial catamenia. The Plus edition, the 1 I tested, is $xxx per month per user and is essentially the gratuitous trial edition with ii gigabytes (GB) of storage, along with the added bonus of being able to load larger data sets. The Professional edition is designed for enterprise utilise and tin can accommodate multiple users, more complex collaborations, and more data connectors than the other editions. The cost for the Professional edition is $80 per user per month or $960 per user per year with 100GB of storage.

IBM Watson Analytics provides insights that can help businesses in various industries from retail to wellness care. There's no doubt that detecting hidden trends and correlations in structured and unstructured data can be valuable. Companies can analyze the circumstances driving business events and utilize the data to inform future decisions.

Overall, IBM Watson Analytics is beautifully designed to deliver a highly intuitive UI and a simplified user experience (UX). The prompts are indeed intelligent and guide even beginners in a smart direction, which volition go far in companies aiming for companywide data democratization, which is almost everyone in the organization using data analytics in their work. Information technology's also very smoothen at moving users to deeper insights even if their data science skills are somewhat limited. Yet, highly experienced information scientists tin skip the prompts and become directly to complex querying and decision trees and avoid most of the frustration associated with "user-friendly" software.

That is non to say that IBM Watson Analytics is perfect or suited for all use cases. It'south inability to handle streaming information and analytics on the fly will exist a major drawback to some (but a non-event to many others). If near-real-time is sufficient for your utilize cases and your employees have a mix of skill levels, and so you'll notice this tool is more than up to the chore.