Carrying on with our tweetchat and webinar sessions with the Paxata Data Divas, examining the six predictions of their CEO, Prakash Nanduri, we have arrived at his fifth prediction for 2015 "Marketing becomes the biggest driver of BI decisions". Reading the prediction in full reveals that Prakash is really talking about Shadow IT, and the sift in technology and budget decisions for IT as a whole, and BI specifically, from IT and the CIO to the various lines of business. While this reasoning could apply to the rise of operational intelligence, Prakash cites various research that shows marketing as leading the way through their adoption of self-service BI tools and new sources of data, such as social media. On Wednesday, May 6, we held the first #PaxCat to discuss this prediction. You can follow along in the frame below, if you missed it.
… and listen to our webinar.
There was broad agreement with Prakash. Business Intelligence has been undergoing an evolution in technology at the same time that many of the original BI companies have been acquired by more general enterprise software firms. BI, data warehousing and all data management and analytics [DMA] have really been going in three directions:
At the same time, numerous new sources of data have sprung into existence. And whether one considers their customer to be someone who pays for your service or product, or a member of your community, or even the citizen of a government, most of these new data sources provide new information about customers and end-users. These data sources include free and paid third-party data sets, open gov and open data about demographics, weather, climate, geolocation, health, parking, traffic and much, much more. Good examples can be found in the Paxata Data Enrichment Library. Social media, such as Twitter, Facebook and LinkedIN and the burgeoning Internet of Things [IoT] have added to other Internet data sources, such as email, web traffic logs, shopping carts, mobile and ediscovery to make online data a marketing wet dream.
Whether or not BI is the right term any more, or maybe the older "decision support systems" makes more sense, is irrelevant. Marketing is bout creating an exceptional user experience though marcom, understanding customers, and providing relevance across all touch-points and channels that existing and potential customers might have with your organization. From that perspective, Prakash is certainly right, Marketing will be the primary driver of BI in 2015.
Join us for the sixth Paxata tweetchat by following the hashtag #PaxChat on Wednesday, May 20 at eleven o'clock in the morning, PDT. This is the last PaxChat examining Prakash's prediction. Prediction number 6 is near and dear to Clarise and my hearts "The IoT becomes real for B2B". If you need a bit of a primer on IoT you can check out our previous blog post: "What does IoT all mean?" and our latest Sensor Analytics Systems for IoT mindmap. We look forward to hearing form you. Please check out Cari's post introducing this PaxChat and see the webinar below.
On Wednesday, April 22, Paxata held its fourth tweetchat under the #PaxChat hashtag, exploring the predictions of their CEO, Prakash Nanduri. Prakash's six predictions, used to guide his strategy for Paxata and their customers, are
As you can see, the fourth prediction, the subject of our tweetchat, is that 2015 will be a make or break year for hadoop. This is a very interesting strategic foundation stone for a company providing revolutionary self-service data preparation services for big data, and really, all data. Hadoop is often thought to be a synonym for Big Data. It isn't of course. Yet, still, this idea is very ballsy, that the manor repository, archive, ETL and data management platform for Big Data, the Hadoop family of open source projects and commercial products, will either prove itself this year, or fall by the wayside.
I get the point, especially as:
Q1 #PaxChat Are you looking at #Hadoop, other #NoSQL #bigdata management systems, or is #RDBMS enough?
Q2 #PaxChat Do you have a “layered” approach to storing data based on query or access frequency?
Q3 #PaxChat Will the market prove out this year for #OSS #Apache #Hadoop or any one commercial distribution?
Q4 #PaxChat What enterprise ready features [e.g. reliability, security, maintainability] do you want in a #Hadoop distribution?
Bonus Question: Q5 #PaxChat Do you fish in your data lake, or dive into your data dumpster?
If you missed it, you can follow the discussion in the following frame:
You can also see the background for these #PaxChats and review the webinar on Prediction Four.
Our tweetchat on Prediction 5 "" is coming up on May 6, 11:00 a.m. PDT. You can read more about it in Cari's blog post. See you there.
Once upon a time, as 2014 drew to a close, the Paxata Data Divas asked us to review the predictions made by Prakash Nanduri, their CEO, as published in Forbes. This led to a series of short, 10 minute webinars. We have also decided to do a seres of tweetchats, using the hashtag #PaxChat. As with the webinars, there is one chat per each of the six predictions. Cari Jaquet, VP of Marketing, blogged about this recently.
These predictions were more about Prakash understanding the trends impacting Paxata and their customers. As Prakash wrote:
I see it as an exercise in running our business.In fact, I always try to anticipate what the market will look like, where vendors are going, and what I believe the future holds. It’s less like writing horoscopes and more like playing chess: contemplating the big moves that will matter, not necessarily trying to predict who wins the game.
These webinars and tweetchats are not so much about whether or not we agree with Prakash's prognostications; his analysis of the markets and trends. Though we do have fun with that aspect. We are really exploring the landscape around us. How do these trends affect us, our customers, and the industry that has become so important of late, data management and analytics [DMA].
Prakash's third prediction is "Data Preparation replaces Big Data as hottest topic in Enterprise Analytics". What is a hot topic? Popular search terms? Twitter trends? Number of meetups in your area devoted to one subject over another? Injuries industry analysts receive? Perhaps.
More important is where is the budget going and where are the skills lacking? Where is the pain in enterprise analytics. The PaxChat on prediction three, held at 11:00 a.m. PDT on April 8, covered these questions for our third tweetchat, exploring these areas.
Q1: Do you back the opinion that 80% of #DataScience is #DataPrep?
Q2: What is the role of #DataPrep in #DataScience?
Q3: What would help you the most in #DataPrep?
Q4: Are #BigData and #DataPrep competing terms, or is one dependent on the other?
Bonus Q: How will new and evolving available data sources impact data quality and governance?
You should also catch the 10-minute webinar on this prediction.
As you can see from these, we had a lively discussion. The big takeaway for me, is that data science, data analytics, big data, business intelligence… all forms of data analysis, even good ol' manual statistics, require data preparation. The excitement around data preparation today is how Paxata leverages Cloud and distributed computing to bring advanced machine learning algorithms to all types of users through current browser technology. This comes together into a marvelous user experience, that allows one to fully, deeply understand their various data sets and how those data sets may be brought together to not only answer known questions, but to suggest new questions to solve business, operational and technical challenges for all types of organizations. Regardless of how you view it, data preparation will be a hot topic, in searches, in budget, as a necessary step in dealing with big data.
The fourth #PaxChat is coming on Wednesday, 2015 April 22, at 11:00 a.m. PDT and will cover Prakash's fourth prediction "Hadoop faces a make-or-break year in the larger enterprise market". We hope to chat with you then.
Bring distributed resources up when you need them, shut them down when you don’t.
Focus IT and business resources on the important opportunities and fun challenges.
Watch development and operations skills merge into devops.
Interweave open source and proprietary technologies, and data from open, government, third-party and internal sources.
What’s not to like?
The technologies and business processes for elastic, cloud computing, a.k.a. “The Cloud”, are coming into the mainstream, building upon the work of companies such as Salesforce and Amazon and Enomaly, and the vision of avant-garde CIOs such as Ben Haines. Growing out of grid computing in the 1990s, evolving through application service providers to everything-as-a-Service [*aaS], the Cloud is now a major component of IT strategies. There has been one area resistant to this type of IT outsourcing: data management and analytics [DMA] in its various forms. Early attempts to bring BI into the Cloud ended in bankruptcy for pioneering companies such as LucidEra, which ended operations in 2009. Recently, other entrepreneurial ventures have targeted the BI market with Cloud services and Business Intelligence as a Service [BIaaS] and Data as a Service [DaaS] platforms. Self-service BI, data visualization and data preparation companies also operate in the Cloud. There is little doubt [though still some lingering doubt] that data integration and governance, data warehousing, business intelligence, advanced analytics and data science can thrive as Cloud platforms and services.
Who will dominate in the Cloud DMA market? Will one or two of the current players not only survive as independents but emerge with undeniable victory? Or will established enterprise software and Cloud companies acquire those startups, much as the traditional BI vendors became absorbed into the larger IT vendors?
At the end of 2014, Prakash Nanduri, the CEO of the ground breaking firm Paxata turned a forecaster’s gaze upon 2015, to help with his strategy in guiding Paxata and in advising their PaxPro customers. The results were six predictions published as an article in Forbes. If you’ve been following along, you know that the Paxata Data Divas. Lilia Gutnik, Dr. Julie Mayhew, Tricia Lee McNabb and Cari Jaquet, invited us to do a series of short webinars and tweetchats to have some fun with these predictions. The first prediction, "The lines will blur between data scientists and data analysts.", was the subject of the first #PaxChat on March 11. The next will be held on Wednesday, March 25 at 11:00 a.m. PDT covering Prakash’s second prediction, “Microsoft and Salesforce.com will take a dominant share of the Cloud based BI market”. What a bold and interesting prediction!!! One, a large enterprise and consumer player, that has built a reputation for proprietary hardware and software, backed by an enthusiastic developer and partner community, with ofter derisive customers. The other, arguably, the dominant Cloud Software as a Service [SaaS] company that made its motto “No More Software” and has grown from customer relations management through salesforce automation, into customer service and marketing, growing amazing platforms allowing early adoption of mobile and the Internet of Things [IoT], naming this the Internet of Customers and Internet of Connected Products [or Internet of Carrier Pigeons]. Despite its best efforts over two decades, Microsoft is not accepted as a BI company, let alone a CloudBI company. Salesforce has left analytics up to its partner community until very recently, with the acquisition of relateIQ and EdgeSpring, and introduction of Wave. Read Prakash’s predictions for his well reasoned arguments on why these two might just wind up being the dominant players in CloudBI this year!
Listen to the webinar to find out why the Data Divas and the Data Archons are skeptical ;-)
Join the tweetchat, by following #PaxChat and give your own take on the following questions.
Prediction Two: Microsoft and Salesforce.com will take a dominant share of the Cloud based BI market.
Q1 #PaxChat Are you ready to move your #BI to the #Cloud?
Q2 #PaxChat Which parts of data management and analytics #DMA are enhanced by Cloud?
Q3 #PaxChat Are @Microsoft @Azure #PowerBI @Office365 and @Salesforce #Wave on your roadmap?
Q4 #PaxChat If 80% of the #DMA work is #DataPrep do @Microsoft and @Salesforce offerings address self-service governance?
Bonus Q #PaxChat Will the current #CloudBI players fall behind in 2015?
The action comes alive March 25:
As we started to celebrate the end of 2014 and anticipate all that 2015 will bring, Prakash Nanduri published an article in Forbes with six predictions. This wasn’t to show his prowess as a prognosticator or futurist, but to bring focus to his strategy as CEO of Paxata, and to his advice to Paxata customers. Prakash’s strategic thought can be found through the Paxata newsroom and blogs.
Soon after the Forbes article was published, the Paxata Data Divas invited me to do a series of short [less than ten minutes each] webinars, where we discussed each prediction.
If you don't know the Paxata Data Divas, you should:
Diva-in-Charge: Cari Jaquet, VP of Marketing
Diva Control: Tricia Lee McNabb, Director Marketing Programs
Diva-at-Large: Lilia Gutnik, Product Person and Cruise Director
Diva-of-Mayhem: Dr. Julie Mayhew, a.k.a. Doctor Mayhem, Pre-sales Engineer
Following up on these webinars, the Data Divas asked us to host a series of tweetchats based upon Prakash’s predictions, extending our discussion to everyone following on Twitter. The first in this series of TweetChats will begin at 11:00 a.m. Pacific Time, using the hashtag #PaxChat. Coincident with this, Julie will be at The Drive Conference, while Clarise and I will be at IoT day at EclipseCon. As with most tweetchats, we will have five questions based on the first prediction “The lines will blur between data scientists and data analysts." As has become the custom, we will use the format Qn as we tweet each question; please respond with An and the hashtag #PaxChat
Q1: How do you define data science?
Q2: Is data science a solo or team sport?
Q3: What is the difference between a data scientist and a data analyst?
Q4: How has your company introduced data science?
Q5: How do you bring data science into production?
If there is time, we will have a bonus question. You can find a list of all 11 questions that were considered, and more from Cari, at her blog post "PaxChat - The Predictions Come Alive" as well as comment there with any questions or recommendations.
You can view the webinar on YouTube first.
Thank you Divas and Paxata for sponsoring these #PaxChats on the business impact of an increasingly complex and interesting data landscape.
Now that the #PaxChat One is over, you can see the results below. The next PaxChat is scheduled for Wednesday, March 25 at 11:00 a.m. PDT. It will cover the second of Prakash's predictions for 2015: "Microsoft and Salesforce.com will take a dominant share of the Cloud based BI market".
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