Informatica Partners with Tableau at INFA16

Informatica Teams with Tableau to Bridge the Business and IT Divide
Partnership Helps Customers Answer the World’s Toughest Questions with Trusted Data
Informatica has expanded its partnership with Tableau Software (NYSE: DATA), a global leader in rapid-fire, easy-to-use business analytics software. Together, the two organizations are delivering insights and understanding for business users at the speed they require, while ensuring IT controls are in place. Uniting Tableau’s self-service analytics with Informatica’s clean, trusted data and rich metadata enables business users to make even faster and smarter decisions with the support and blessings of IT. Together, the companies are providing the industry’s first end-to-end architecture and framework for agile business intelligence.

Today at Informatica World, Informatica and Tableau announced a continuation and expansion of their partnership. For Information Technology organizations, this means that they can focus on enabling the new generation of business analysts and data scientists. IT must evolve their data management architecture to provide appropriate and immediate access to legacy, internal, third-party, social and IoT data.

Appropriate Access

The application of privacy, transparency, security and convenience to data management has become one of the main challenges to all types and sizes of organizations today. Unintended exposure of data, whether through criminal or terrorist action, or through carelessness, has been a major source of embarrassment, bad press, and legal action in recent years. Privacy means different things to different people. Cultural differences affect this perception of privacy, and regional regulatory differences reflect these different perceptions. Security has shades of meaning as well; all revolving around protection. Technology has tried to provide physical and cyber security through different means: roles, authorization, access, firewalls, locks, malware lists, heuristics, encryption, private and public keys, and virtual private networks. All meant to keep the wrong people out. Two more things have become apparent as the Internet has developed: people expect transparency in how corporations, governments and other organizations deal with the data that they generate, and people are willing to exchange a certain amount of security and privacy in exchange for convenience. Regardless of these risks, IT must move from being a gatekeeper of data, must move away from unthinking lockdown of data, to controlling the flow of data.

Immediate Access

Informatica Powers the New Era of Self-Service Analytics
Informatica Delivers the Data to Harness Disruptive Trends and Turns Them into Business Advantage
Power users of data are quickly becoming the norm as data analysis and the entire BI market is being disrupted as businesses are putting data in the hands of all employees and accelerating adoption through self-service data visualization and business discovery solutions. As the center of gravity for analytics shifts from IT to lines of business, enterprises face a tough new challenge: how to ensure that every user is empowered with the right data. Informatica has the answer with our solutions for cloud analytics.

In addition to the announcement with Tableau, Informatica announced its own evolving products and services for self-service data management.

The move of project and program management towards adopting the Agile Manifesto has shown that responsiveness to customer needs, whether that customer is internal, external or the citizenry, is paramount. We might talk about latency, or data temperature, or query times, but what really matters is that the analyst, the organization, has the required data and necessary tools to inform their gut as to the best decision. This means exposing both the data and the algorithms, assuring data stewardship, governance and quality, and providing the tools for self-service data preparation, business intelligence, reporting, analytics and visualization. It means productionalizing the work of data science teams so that those needing to make decisions, within and outside the organization, can use the inferences, predictions and insights to improve the performance of their decisions. Key to this are using the products of data science, machine learning and predictives, to understand, manage and expose metadata, to anticipate and protect against risks, attack surfaces and threat vectors, and expand context to all sources and all uses of data. Two-way traceability will be vital to this new IT architecture.

Importance to Sensor Analytics Ecosystems

Sensor Analytics Ecosystems (SAE) will be required to overcome the data silos, market verticals and myriad of conflicting standards that are being created under the banner of the Internet of Things. Many technologies and processes will be required to bring this about. Self-service data preparation, self-service BI, productionalizing data science, the Intelligent Data Platform: the combination of human and machine intelligence will be among the most important. One only need look at the public Tableau Cloud, and to open data and open gov sites, to see the potential of data storytelling. Extrapolate this through some of the experiments in sensor journalism. All of this are small steps towards the improvements in data management and analytics coupled with the Internet of Things, that will bring about SAE to address the world's critical challenges.

Data Powers Business at Informatica World 2016 INFA16

Clarise and I will be attending Informatica World 2016 at the Moscone Center in San Francisco. This year's theme is "Data Powers Business". There are a host of keynotes, sessions, solutions expo, and roundtables. Four summits give clues to the trends and announcements that we can expect.

  • Cloud Innovation Summit
  • MDM 360 Summit
  • Big Data Ready Summit
  • Data Disruption Summit

Over the past several years, Informatica has been delivering on the promise made with the introduction of the Intelligent Data Platform (IDP). We have had a bit of a peek into how Informatica will continue this evolution in each of these four areas with specific product announcements at Informatica World 2016. Cloud innovation has been happening throughout the past year at Informatica. Of particular note to us, was the support of Salesforce IoT Cloud initiatives at Dreamforce 2015. Informatica Cloud and Data-as-a-Service will provide even more solutions to Informatica customers going forward. Informatica Master Data Management (MDM) solutions will provide specific solutions to give 360º views and improved data governance and quality. Big Data 10.1 was announced at this spring's Strata conference in Santa Clara; more details will be announced at INFA16. Data or digital disruption has been receiving major attention this year. Informatica will be showcasing how improvements to their architecture and IDP, their business transformation services using BOST (business, operations, systems, technology framework), and intelligent use of metadata will help their customers leverage data disruption from third-party, social, IoT and other sources. Security will also be a topic running throughout all of these areas with Informatica's latest, Secure@Source adding to their strong security portfolio. It will also be interesting to see Informatica's building upon Vibe and other products for real-time and streaming data management.

There are two roundtable series that will attract those interested in IoT:

  • IoT: What it means for the Telecommunication, Technology, Automotive and Energy industries
  • Ready for the Internet of Things with MDM and Big Data Relationship Management

We plan to live tweet the event [@JAdP and @CZDS] using #INFA16, as well as additional blog posts. If you plan to attend Informatica World 2016, and would like to meet with us to discuss using Informatica for IoT data management, and preparation for sensor analytics, please DM us on Twitter, or follow the contact link in the footer or author links.

Prakash Predicts Marketing the Primary Driver of BI in 2015 PaxChat 5

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:

  1. self-service BI including Cloud BI or BIaaS
  2. embedded BI, especially in ERP systems but in other areas as well
  3. big data, data science, predictives and other advanced analytics, leveraging machine learning, data mining and artificial intelligence

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.

2015 A Make or Break Year for Hadoop

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

  1. The lines will blur between data scientists and data analysts.
  2. Microsoft and will take a dominant share of the Cloud based BI market.
  3. Data Preparation replaces Big Data as hottest topic in Enterprise Analytics.
  4. Hadoop faces a make-or-break year in the larger enterprise market.
  5. Marketing becomes the biggest driver of BI decisions.
  6. The IoT becomes real for B2B.

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:

  • I see Data Science being more important than any concept of Big Data.
  • SQL is proving once again its unique value for querying data, for analytics and for data management
  • The Hadoop platform is expanding beyond map/reduce with Spark and Storm
  • Traditional RDBMS technologies are handling Big Data just fine, either with technological innovations or by incorporating Hadoop projects
  • Big Data and Data Science must prove their value in production, moving out of sandboxes and labs

With the Paxata Data Divas: Lilia Gutnik, Dr. Julie Mayhew, Tricia Lee McNabb and Cari Jaquet, Clarise and I developed five questions to guide the discussion.

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.

Hot Topics in Enterprise Analytics PaxChat Three

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.

Prakash Predicts

  1. The lines will blur between data scientists and data analysts.
  2. Microsoft and will take a dominant share of the Cloud based BI market.
  3. Data Preparation replaces Big Data as hottest topic in Enterprise Analytics.
  4. Hadoop faces a make-or-break year in the larger enterprise market.
  5. Marketing becomes the biggest driver of BI decisions.
  6. The IoT becomes real for B2B.

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].

Data Preparation replaces Big Data

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.

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We take a system and ecosystem approach to data management and analytics, with a focus on developing Sensor Analytics Ecosystems for the Internet of Things. As Independent Researchers we work with data management and analytics vendors to understand the aspects of IoT data and metadata such as time-series, location, sensor specifications & degradation; we work with IoT vendors to understand their data management and sensor analytics needs; we work with both for adaption to Sensor-Actuator Feedback Loops interacting through the Fog, Edge, Intermediate Aggregation Points, Cloud and Core, with augmenting decisions at every point, and making autonomous decisions as IoT mature through the 5Cs: Connection, Communication, Collaboration, Contextualization and Cognition. We work with Academics, Technology-for-Good, Government and Business Organizations to understand advances in Science, Technology, Engineering, Arti and Mathematics. We filter this information through a framework of Cultural, Regulatory, Economic, Political and Environmental factors to imagine future scenarios that allow our customers to gauge adoption without the hype. We work individually and with partners to develop strategies, define system and enterprise architectures, manage programs and projects, and achieve success with IoT. 37.652951177164 -122.490877706959


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