Keyur Desai

Keyur Desai
Keyur Desai, Vice President-Strategy, identifies trends in the Business Intelligence and Big Data spaces and converts those trends into early stage products that Informatica can build to satisfy those trends. He has spent close to 25 years focused on specifically the Business Intelligence and Data Warehousing spaces, working in leadership roles for Teradata, Cognos as well as helping to start MicroStrategy early in his career.

Informatica Rev: Data Democracy At Last – Part 2

This is a continuation from Part 1 of the Blog which you can read here.

Now, if you are in IT, reading about how Informatica Rev enables the everyday business users in your company to participate in the Data Democracy might feel like treachery. You are likely thinking that Informatica is letting the bull loose in your own fine china shop. You likely feel, first of all, that Informatica is supporting the systemic bypass of all the data governance that IT has worked hard to put in place and then second of all, that Informatica is supporting the alienation of the very IT people that have approved of and invested in Informatica for decades.

While I can understand this thought process I am here to, proudly, inform you that your thoughts cannot be further from the truth! In fact, in the not too distant future, Informatica is in a very strong position to create a very unique technology solution to ensure you can better govern all the data in your enterprise and do it in a way that will allow you to proactively deliver the right data to the business, yes, before the masses of everyday business users have started to knock your door down to even ask for it. Informatica’s unique solution will ensure the IT and Business divide that has existed in your company for decades, actually becomes a match made in heaven. And you in IT get the credit for leading this transformation of your company to a Data Democracy. Listen to this webinar to hear Justin Glatz, Executive Director of Information Technology at Code Nast speak about how he will be leading Conde Nast’s transformation to Data Democracy.

Data Democracy At Last

Data Democracy At Last

“How?” you might ask. Well, first let’s face it, today you do not have any visibility into how the business is procuring and using most data, and therefore you are not governing most of it. Without a change in your tooling, your ability to gain this visibility is diminishing greatly, especially since the business does not have to come to you to procure and use their cloud based applications.  By having all of your everyday business users use Informatica Rev, you, for the first time will have the potential to gain a truly complete picture of how data is being used in your company. Even the data they do not come to you to procure.

In the not too distant future, you will gain this visibility through an IT companion application to Informatica Rev. You will then gain the ability to easily operationalize your business user’s exact transformation logic or Recipe as we call it in Informatica Rev, into your existing repositories be they your enterprise data warehouse, datamart or master data management repository for example. And by-the-way you are likely already using Informatica PowerCenter or Informatica Cloud or Informatica MDM to manage these repositories anyway so you already have the needed infrastructure we will be integrating Informatica Rev with. And if you are not using Informatica for managing these repositories, the draw of becoming proactive with your business and leading the transformation of your company to a Data Democracy will be enough to make you want to go get Informatica.

Just as these Professionals have found success by participating in the Data Democracy, with Informatica Rev you finally can do so, too. You can try Informatica Rev for free by clicking here.

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Informatica Rev: Data Democracy At Last – Part I

Data Democracy At Last

Data Democracy At Last

Informatica Cloud Data Preparation has launched! Those are the words we aspired to hear, the words that served as our rallying cry, when all we had was an idea coupled with a ton of talent, passion and drive. Well, today, we launch Informatica Rev, as business users refer to it. (Check out the press release here.)

As we launch today, we now have over 3,500 individual users across over 800 logos. These users are everyday business users who just want to improve the speed and quality of their business decisions. And by doing so, they help their corporation find success in the marketplace. And in turn they also find success in their own careers. You can hear more from Customers talking about their experience using Informatica Rev during our December 16 Future of Work webinar.

These users are people who, previously, were locked out of the exclusive Data Club because they did not have the time to be excel jocks or know how to code. But now, these are people who have found success by turning their backs on this Club and aggressively participating in the Data Democracy.

And they are able to finally participate in the “Data Democracy” because of Informatica Rev. You can try Informatica Rev for free by clicking here.

These people play every conceivable role in the information economy. They are marketing managers, marketing operations leads, tradeshow managers , sales people, sales operations leads, accounting  analysts, recruiting leads, benefits managers, to mention a few.  They work for large companies to small/mid-size companies and even sole proprietorships. They are even IT leads who might have more technical knowledge than their business counterparts, but are increasingly getting barraged by requests from their business side counterparts, and are just looking to be more productive with these requests. Let’s take a peek into how Informatica Rev allows them to participate in the Data Democracy, and changes their lives for the better.

Before Informatica Rev, a marketing analyst was simply unable to respond to rapid changes to competitor prices because by the time the competitor pricing data was assembled by people or tools they relied on, the competitor prices changed. This lead to lost revenue opportunities for the company. I almost don’t need to state that this end result is not an insignificant repercussion of the inability to respond at the rapid pace of business.

Let’s explore what a marketing analyst does today. When a file with competitor prices was received by the analyst, the initial questions they ask were “Which of my SKUs is each competitive price for?” and ”Do the prices vary by some geography”  and to answer these questions, they use Excel VLOOKUPS and some complex macros. By the time the Excel work is done, if they know what a VLOOKUP is, the competitor data is old. Therefore, at some point, there was no reason to continue this analysis and just accept the inability to capture this revenue.

With Informatica Rev, a Marketing Analyst can use Intelligent Guidance to understand the competitor data file to determine its completeness and then with Smart Combine easily combine the competitor data with their own. This is with no code, formal training, and in a few minutes all by themselves. And with Tableau as their BI tool, they can then use the Export to TDE capability to seamlessly export to Tableau to analyze trends in price changes to decide on their strategy. Voila!

Before Informatica Rev, a tradeshow manager used to spend an inordinate amount of time trying to validate leads so that they could then load them into a Marketing Automation System. After a tradeshow, time is of the essence and leads need to be processed rapidly otherwise they will decay, and fewer opportunities will result for the company. Again, I almost don’t need to state that this end result is not an insignificant repercussion of the inability to respond at the rapid pace of business.  But, the Tradeshow Manager finds themselves using Excel VLOOKUPS and other creative but time consuming ways to validate the lead information. They simply want to know, “Which leads have missing titles or phone numbers?” and ” What is the correct phone number?” and” How many are new leads?” and ” How many are in accounts closing this quarter?”

All of these are questions that can be answered, but take a lot of time in Excel and even after all that Excel work, the final lead list was still error prone causing missed sales opportunities.  With Informatica Rev, a Tradeshow Manager can answer these questions rapidly with no code, formal training, and in a few minutes all by themselves. With the Intelligent Guidance capability they can easily surface where the missing data lies. With Fast Combine they can access their opportunity information in Salesforce and be guided through the process of combining tradeshow and salesforce data to correctly replace the missing data.  Again, Voila!

Before Informatica Rev, an Accounting Analyst spent inordinate amounts of time processing trade partner data, every month, reconciling it with the trade partner’s receivables to determine if they had been paid the correct amount by their trade partner. Not only was this process time consuming, it was error prone and after all of the effort, they actually left millions in earned revenue, unreceived. And again, I almost don’t need to state that this end result is not an insignificant repercussion of the inability to respond at the rapid pace of business, and also effectively managing operational costs within the analysts company.  So, let’s take a look at what the Accounting Analyst does, today.  Every trade partner sends large files with different structures of purchase data in them. The Accounting Analyst initially asks, “What data is in them?”,” For what time period?”,” How many transactions?”,” From which products?”, “Which of our actual products does their name for our product tie to?”

Then, after they get these answers, they need to combine it with the payments data they received from the trade partner in order to answer the question, “Have we been paid the right amount and if not what is the difference?” All of these questions are ones that can be answered, but used to take a lot of time with Excel VLOOKUPS and complex macros. And often, the reconciliation was performed incorrectly leaving receivables, well, un-received. With Informatica Rev, an Accounting Analyst can benefit from Intelligent Guidance where they are lead through the process of rapidly understanding their questions about the trade partner files, with a few simple clicks. Furthermore Informatica Rev’s Smart Combine capability suggests how to combine receivables data with trade partner data. So there you have it, now they know if the correct amount has been paid. And the best part is that they were able to answer these questions rapidly with no code, formal training, and in a few minutes all by themselves. Now, this process has to be done every month. Using Recipes, every step the Accounting Analyst took last month is recorded, so they do not have to repeat it this month. Just re-import the new trade partner data and you reconciled. And Again, Voila!

One more thing for you, the everyday business user. In the future, you will be able to send this Recipe to IT. This capability will allow you to communicate your exact data requirement to IT, just as you created it with no mis-interpretation on anyone’s behalf. IT can then rapidly institutionalize your logic exactly as you defined it, into the enterprise datawarehouse, datamart or some other repository of your or your IT department’s liking. Perhaps this means the end to those requirements gathering sessions?

More importantly, I feel this means that you just got your exact requirement added into a central repository in a matter of minutes. And you did not need to make a case to be part of an enterprise project either. This capability is a necessary part for you to participate in the Data Democracy and maintain your rapid pace of business. This is a piece that Informatica is uniquely positioned to solve for you as your IT department likely already has Informatica.

Just as these Professionals have found success by participating in the Data Democracy, with Informatica Rev you finally can do so, too.

Please look for Part 2 of this Blog, tomorrow, where I will discuss how Informatica Rev elegantly bridges the IT and Business divide, empowering IT to lead the charge into Data Democracy. But in the meantime check out Informatica Rev for yourself and let me know what you think.

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Go On, Flip Your Division of Labor: More Time Analyzing and Less Time Prepping Data

Are you in Sales Operations, Marketing Operations, Sales Representative/Manager, or Marketing Professional? It’s no secret that if you are, you benefit greatly from the power of performing your own analysis, at your own rapid pace. When you have a hunch, you can easily test it out by visually analyzing data in Tableau without involving IT. When you are faced with tight timeframes in which to gain business insight from data, being able to do it yourself in the time you have available and without technical roadblocks makes all the difference.

Self-service Business Intelligence is powerful!  However, we all know it can be even more powerful. When needing to put together an analysis, we know that you spend about 80% of your time putting together data, and then just 20% of your time analyzing data to test out your hunch or gain your business insight. You don’t need to accept this anymore. We want you to know that there is a better way!

We want to allow you to Flip Your Division of Labor and allow you to spend more than 80% of your time analyzing data to test out your hunch or gain your business insight and less than 20% of your time putting together data for your Tableau analysis! That’s right. You like it. No, you love it. No, you are ready to run laps around your chair in sheer joy!! And you should feel this way. You now can spend more time on the higher value activity of gaining business insight from the data, and even find copious time to spend with your family. How’s that?

Project Springbok is a visionary new product designed by Informatica with the goal of making data access and data quality obstacles a thing of the past.  Springbok is meant for the Tableau user, a data person would rather spend their time visually exploring information and finding insight than struggling with complex calculations or waiting for IT. Project Springbok allows you to put together your data, rapidly, for subsequent analysis in Tableau. Project Springbok tells you things about your data that even you may not have known. It does it through Intelligent Suggestions that it presents to the User.

Let’s take a quick tour:

  • Project Springbok tells you, that you have a date column and that you likely want to obtain the Year and Quarter for your analysis (Fig 1)., And if you so wish, by a single click, voila, you have your corresponding years and even the quarters. And it all happened in mere seconds. A far cry from the 45 minutes it would have taken a fluent user of Excel to do using VLOOKUPS.

data

                                                                      Fig. 1

VALUE TO A MARKETING CAMPAIGN PROFESSIONAL: Rapidly validate and accurately complete your segmentation list, before you analyze your segments in Tableau. Base your segments on trusted data that did not take you days to validate and enrich.

  • Then Project Springbok will tell you that you have two datasets that could be joined on a common key, email for example, in each dataset, and would you like to move forward and join the datasets (Fig 2)? If you agree with Project Springbok’s suggestion, voila, dataset joined in a mere few seconds. Again, a far cry from the 45 minutes it would have taken a fluent user of Excel to do using VLOOKUPS.

Data

  Fig. 2

VALUE TO A SALES REPRESENTATIVE OR SALES MANAGER: You can now access your Salesforce.com data (Fig 3) and effortlessly combine it with ERP data to understand your true quota attainment. Never miss quota again due to a revenue split, be it territory or otherwise. Best of all, keep your attainment datatset refreshed and even know exactly what datapoint changed when your true attainment changes.

Data

Fig. 3

  • Then, if you want, Project Springbok will tell you that you have emails in the dataset, which you may or may not have known, but more importantly it will ask you if you wish to determine which emails can actually be mailed to. If you proceed, not only will Springbok check each email for correct structure (Fig 4), but will very soon determine if the email is indeed active, and one you can expect a response from. How long would that have taken you to do?

VALUE TO A TELESALES REPRESENTATIVE OR MARKETING EMAIL CAMPAIGN SPECIALIST : Ever thought you had a great email list and then found out most emails bounced? Now, confidently determine which emails are truly ones will be able to email to, before you send the message. Email prospects who you know are actually at the company and be confident you have their correct email addresses. You can then easily push the dataset into Tableau to analyze the trends in email list health.

Data

Fig. 4

 And, in case you were wondering, there is no training or install required for Project Springbok. The 80% of your time you used to spend on data preparation is now shrunk considerably, and this is after using only a few of Springbok’s capabilities. One more thing: You can even directly export from Project Springbok into Tableau via the “Export to Tableau TDE” menu item (Fig 5).  Project Springbok creates a Tableau TDE file and you just double click on it to open Tableau to test out your hunch or gain your business insight.

Data

Fig. 5

Here are some other things you should know, to convince you that you, too, can only spend no more than 20% of you time on putting together data for your subsequent Tableau analysis:

  • Springbok Sign-Up is Free
  • Springbok automatically finds problems with your data, and lets you fix them with a single click
  • Springbok suggests useful ways for you to combine different datasets, and lets you combine them effortlessly
  • Springbok suggests useful summarizations of your data, and lets you follow through on the summarizations with a single click
  • Springbok allows you to access data from your cloud or on-premise systems with a few clicks, and the automatically keep it refreshed. It will even tell you what data changed from the last time you saw it
  • Springbok allows you to collaborate by sharing your prepared data with others
  • Springbok easily exports your prepared data directly into Tableau for immediate analysis. You do not have to tell Tableau how to interpret the prepared data
  • Springbok requires no training or installation

Go on. Shift your division of labor in the right direction, fast. Sign-Up for Springbok and stop wasting precious time on data preparation. http://bit.ly/TabBlogs

———-

Are you going to be at Dreamforce this week in San Francisco?  Interested in seeing Project Springbok working with Tableau in a live demonstration?  Visit the Informatica or Tableau booths and see the power of these two solutions working hand-in-hand.Informatica is Booth #N1216 and Booth #9 in the Analytics Zone. Tableau is located in Booth N2112.

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The Future of Data for Everyone

Chart for the future of dataWithin every corporation there are lines of businesses, like Finance, Sales, Logistics and Marketing. And within those lines of businesses are business users who are either non-technical or choose to be non-technical.

These business users are increasingly using Next-Generation Business Intelligence Tools like Tableau, Qliktech, MicroStrategy Visual Insight, Spotfire or even Excel. A unique capability of these Next-Generation Business Intelligence Tools is that they allow a non-technical Business User to prepare data, themselves, prior to the ingestion of the prepared data into these tools for subsequent analysis.

Initially, the types of activities involved in preparing this data are quite simple. It involves, perhaps, putting together two excel files via a join on a common field. However, over time, the types of operations a non-technical user wishes to perform on the data become more complex. They wish to do things like join two files of differing grain, or validate/complete addresses, or even enrich company or customer profile data. And when a non-technical user reaches this point they require either coding or advanced tooling, neither of which they have access to. Therefore, at this point, they will pick up the phone, call their brethren in IT and ask nicely for help with combining, enhancing quality and enriching the data. Often times they require the resulting dataset back in a tight timeframe, perhaps a couple of hours. IT, will initially be very happy to oblige. They will get the dataset back to the business user in the timeframe requested and at the quality levels expected. No issues.

However, as the number of non-technical Business Users using Next-Generation Business Intelligence tools increase, the number of requests to IT for datasets also increase. And so, while initially IT was able to meet the “quick hit dataset” requests from the Business, over time, and to the best of their abilities, IT increasingly becomes unable to do so.

The reality is that over time, the business will see a gradual decrease in the quality of the datasets returned, as well as an increase the timeframe required for IT to provide the data. And at some point the business will reach a decision point. This is where they determine that for them to meet their business commitments, they will have to find other means by which to put together their “quick hit datasets.” It is precisely at this point that the business may do things like hire an IT contractor to sit next to them to do nothing but put together these “quick hit” datasets. It is also when IT begins to feel marginalized and will likely begin to see a drop in funding.

This dynamic is one that has been around for decades and has continued to worsen due to the increase in the pace of data driven business decision making. I feel that we at Informatica have a truly unique opportunity to innovate a technology solution that focuses on two related constituents, specifically, the Non-Technical Business User and the IT Data Provisioner.

The specific point of value that this technology will provide to the Non-Technical Business User will enable them to rapidly put together datasets for subsequent analysis in their Next-Generation BI tool of choice. Without this tool they might spend a week or two putting together a dataset or wait for someone else to put it together. I feel we can improve this division-of-labor and allow business users to spend 1-2 weeks performing meaningful analysis before spending 15 minutes putting the data set together themselves. Doing so, we allow non-technical business users to dramatically decrease their decision making time.

The specific point of value that this technology will provide the IT data provisioner is that they will now be able to effectively scale data provisioning as the number of requests for “quick hit datasets” rapidly increase. Most importantly, they will be able to scale, proactively.

Because of this, the Business and IT relationship has become a match made in heaven.

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