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How to Manage All That Data
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Thank you David, it has been a very productive webinar, I leanrn a lot about the complexity of managing Big Data.

Prospector

So far this has been awesome.  It gives a great viewpoint on the meta-structure philosophy in building this environment.

Prospector

But there is resistence from the powers to spend the money to build such a managment structure.

Prospector

Agreement on definitions is a MUST when starting into business analytics - too many times I have been in meetings where a definition is redefined on the fly.

Prospector

Keeping the executives from jumping straight to the datawarehouse mentality and look at the sources and our needs - problematic.

Prospector

Trying to get the whole executive staff to understand the facts instead of the hype - huge hurdle

Prospector

This presentation widen my understanding of big data. As David said big data management and big data analytics are dependent but separate topics.

Prospector

Our team also has to educate on having data vs having usable data.

Prospector

the big wins in big data anlytics has set some unrealistic expectation of what can be done at our company.

People expect google type results without investing in resources like google.

Prospector

yes, "big data" is becoming overused.

 

Prospector

The archives make so convenient to complete the course or view something that was missed live

Prospector

Look forward to exploring additional big data platform issues in this series.  Thank you David and A2.

Prospector

I would add that an executive sponsor who fully supports the initiative is critical - too many projects fail when the advocate turns attention to other, higher value (real or perceived)) opportunities within the organization.

Prospector

Completely agree with one of the most critical factors in any endeavor is to identify and quantify business value.

 

Prospector

Your points on Data Governance hits very close to home for our society.  We are just dipping our toes into the 'Big Data' mentality and are trying to come up with policies.  Are there any recommendations on further information pertaining to Data Governance?

Prospector

Tip! It would be helpful and highly recommended, that if a big data project is undertaken, to provide rank and file employees and managers with a useful whitepaper or out line what big data is (and is not), simple explanations of what is occuring or needs to happen, and when. Lastly, include a brief summary to the rank and file as to what the potential or expected outcomes should or will be. Thanks.

Prospector

Road block alert! If IT/Big Data Team does not properly identify and routinely communicate the expected timeline for deliverables to the business unit(s) ...watch out! Setting timing expectations and routine updates are paramount to keeping all parties sane. Work with business unit(s) and senior managment, if necessary, to prioritize data streams for Big Data. Each department of business unit will want "their" data as a top priority or to be first to receive analytics.

Prospector

The newspaper/news media industry is ripe for Big Data. Analytics derived from hard copy and online streaming readership would help newspapers define and measure hard core or loyal readership in an effort to provide advertising value to advertisers. Thanks.

Prospector

I have been experimenting with Tableau visualization software involving digital campaign analytics and fracking activities. Very interesting. I'm curious as to how data visualization can overlay POS data. Thank you.

Prospector

Thank you. Challenges for large retail chains is the massive POS data that occurs 24/7 from brick n mortar and Ecommerce. In my experience, data integrity and definition issues arise from third-party vendors/data streams such a email, digital advertsing providers, coupon engagement/downloads, etc. Accurate data verification has been an issue.

Prospector

5. Regarding master data management, from experience, one of the most difficult steps is agreeing, within a company and among different stakeholder, a single, unique "version of truth" for each data type/time series/KPI.

Prospector

4. From all the differences noted between EIM competence and good data management, I think that the most important ones are scalability and cross-functional (and vertically within functions) alignment.

Prospector

3. When it comes to text analytics, semantics, or other unstructured data, it would be interesting to know the basic principles of utilizing such data and converting them to quantitative, measurable ones.

Prospector

2. Semantics, as a technology horizon aspect of big data, is a field that I have not explored enough and it would be interesting to know more about it (how it is facilitated by big data analysis for example).

Prospector

Thank you David for an very interesting & insightful webinar. A couple of points from my side:

1. You mentioned various high level goals which could be supported in the decision making process by bid data. One of the emerging goals which was not mentioned is HR investments & performance evaluation (a quite hot topic).

Prospector

thanks everyone..have a great time ahead..!!!

Prospector

thanks everyone for clarification and justification..

Prospector

Thanks. Have a nice day!

Prospector

Have a great afternoon everybody!

Blogger

And, of course, thanks to all our listeners today, too. Please join us next week, when Olivia Parr-Rud, a BI expert, will discuss, "Big-Data Analytics: From Theory to Best-Practice"

Blogger

Thanks so much. I can tell I'll be dreaming about trying to corral exabytes of data in living color on three screens. Answers to questions really helpful -- thanks again.

 

Blogger

Thanks to all! Bye bye!

Blogger

Thanks, again, for the presentation and chat--and a good middle week to all--

Prospector

@Lyndon That being said, the same advice goes for them as well: figure out what you want to do, determine the value dimensions, and manage the data across the end-to-end production work flow.

Blogger

Everybody, we're at the top of the hour and it's time to sign off.  Thanks again to David -- and don't forget to check out his book Big Data Analytics: From Strategic Planning to Enterprise Integration.... 

 

Blogger

@Lyndon: One benefit of the open source-ness of a lot of the big data capabilities is that it has lowered the barrier to entry. We recently did a project for a small company to analyze half a billion transaction records. We were able to do the whoie analysis on a desktop machine I bought from Costco!

Blogger

Ver good! Thank you all!

Prospector

Lecture seems to focus on very large scale data issues and need for EIM in large enterprises. But what about small, even very small outfits? Any special approach for them? Special resources?

Blogger

@Beth: Screen scraping requires its own special policies, since you are going to have to reinterpret semantics as well as structure on a regular basis. I suspect that there this is a fertile area of research from a metdata and semantics perspective. maybe the topic of a future broadcast?

Blogger

@Harry @Beth: Cyber security is actually one of the most interesting and challenging big data management use cases. It requires capture and simultaneous analysis of multiple data streams with potentially a lot of obfuscation to be plowed through to identify th epatterns and the entities involved. good question

Blogger

David, about that screen scraping example you gave during the lecture... So, what is your advice for a company that wants to implement something like that when you want to use external data but are at the mercy of the producer?

Blogger

thank you for a good show and plesant chat

Prospector

@Lyndon: I group those guys all together. Social media providers are just collecting your data and then selling you stuff. So they also need to acquire, intake, transform, organize, load, analyze, and then present the results of the data streams they manage.

Blogger

David writes

===

Actually, the hysteria around visualization sometimes masks the EIM dependencies. Sometimes people think that they no longer need to have any data architecture, but all they need to do is dump theoir data into a big spreadhseet. Nonetheless, once you insert the context of creating value back into the process, the connection between data viz and data management become much clearer.

===

I can agree with that -- data viz definitely blows their socks off, I mean, makes them stand up and pay attention. But LOTS of exabytes & beyond there...

 

Blogger

Thanks. I know someone with a need. I will refer them.

Data Doctor

David, here's another question from earlier:

t appears as though the most frequent context witghin which data management is discussed is in the retail environment.  Is there a venue, body of knowlkedge or communities of interest that discuss the value of data amanegement and analytics within the context/relam of physical security?

I work for the Dept of Defense and focus particulary on anti and counter terrorism related physical security and my interest in and practice of data management and analytics exists in that realm.

Thanks ... Harry

Blogger

Thank you to David and the AllAnalytics community for a very interesting and informative discussion this afternnoon!

Prospector

@tomsg: I love location data. And yes, it is still just data. You can benefit from all the differen EIM components for managing and making use of location data.

Blogger

You menmtioned the big eCommerce providers. What about social media providers -- Facebook, Twitter, Pinterest, etc. How are they dealing with EIM?

Blogger

@Lyndon: My public sector clients are very eager to exploit big data. They believe that the total cost of operation is lower and allows them to move data off more expensive mainframe systems.

Blogger

Is location dtat trested differently? I know there can be a lot and a lot of it is nearly the same. Does this cause any special problems?

Data Doctor

@Lyndon Actually, the hysteria around visualization sometimes masks the EIM dependencies. Sometimes people think that they no longer need to have any data architecture, but all they need to do is dump theoir data into a big spreadhseet. Nonetheless, once you insert the context of creating value back into the process, the connection between data viz and data management become much clearer.

 

Blogger

David, here's a question from earlier, from @LyndonHenry: Has the "explosion" of data visualization in 3D visualization etc. with the accelerating growth in data volume and catagorization created any special EIM issues?

Blogger

Are managers in the public sector more or less accepting of EIM compared to private sector?

Blogger

Beth here now, I hope everybody enjoyed the program. If you have questions for David, please share now!

Blogger

How do I get permission to use some of the slides?

Data Doctor

Reallly useful data

Data Doctor

Thank you for the presentation.  Very well done!

Statistician

thanks for all attendees

very useful comments

Prospector

Thanks for the great session!

Statistician

Thanks to all of you for participating

Great, looking forward for next session.

Statistician

Telecom is definitely embracing analytics as they try not to get pushed into a corner as a dumb pipe provider versus those with content.

Prospector

Here I am! Ask away...

 

Blogger

Thanks and a good day to all from Germany

Prospector

Has the "explosion" of data visualization in 3D visualization etc. with the accelerating growth in data volume and catagorization created any special EIM issues?

Blogger

This Live chat is so insightful!!

Master Analyst
Thanks again I look forward to the next one
Prospector

Real time is the key

Prospector

Thanks to you all for the discussion

Prospector

Thanks, again, and a good day to all--

Prospector

@David_Loshin: Thank you for nice presentation. I thought you speak very fast to cover "big" data in one hour :)

Good info, thanks!

Prospector
When will the next one take place?
Prospector

Very well summarized presentation - thank you very much!

Prospector

Thanks David!  Good presentation.

Prospector

Thanks for your time David.

 

Prospector
Thanks for the presentation
Prospector

Great! Audio was pretty clear supplemented by the Deck. Thanks, David

Prospector

@David_Loshin, I thought you also mentioned on real-time big data but I don't agree on real-time big data. It's real-time big data process but the data would be better long-time data to get trend (as I defined data as vector) and to predict value from data.

Good presentation, broad subject for such a short time

 

Prospector

@Ariella thanks! let me know your thoughts!

Blogger

Thanks David

 

Data Doctor

Good Presentation David

Statistician
This is very good today
Prospector

Have any major public (government) agencies implemented EIM. If so, with what results?

Blogger

Thank you for the presentation.

Prospector
When they are taking your data they get it for free with no payment, The same people then sell what they obtained for nothing.
Prospector

Nice presentation, thanks!

Prospector

@David thanks for the link.

Blogger

I sgree with Ariella, it's the shock factor

Prospector

Not sure if you covered this. How does big data affect the cost/complexity of backup and disaster recovery? thanks

Prospector
In some ways, yes I do. Partially because of a failure to define and self regulate what content is important
Prospector

@Alexis absolutely, but it's harder to get attention that way, I guess. It's rather like certain performers losing all sense of taste in the attempt to shock the public and so stay in the public eye and the subject of discussion.

Blogger

I don't think most people think big data is free!

Data Doctor

Thanks for the interesting presentation!

Prospector

@srs1 I guess it's a contrarian thing because so many people like to do the equivalent of gotcha.

Blogger

Di you think those data silos are still big problems TalkerZ?

Data Doctor

If you are clever you can spell correctly and still make your point, I think

Data Doctor
All Analytics recently ran a story about the Edsel Car. It failed because of overly compartmentalized information flow within the Ford Superstructure.
Prospector

I don't think there is an end it seems to be getting worse. Look at the rapper Gucci Mane's twitter. His sentences rarely have a subject and its impossible to read. He also uses periods after every 3rd word.

 

Master Analyst

@Alexis When you are trying to get your message into those 140 characters AND include a link, you try to shrink text in any way you can. But I understand your pain; even in graduate classes I see students using "txt" language. It's horrifying!

Prospector

The greatest challenge I see for big data on the cloud is the price of cloud storage versus local hosted comodity storage

Prospector

@Alexis Believe me, when I want to post something on Twitter, and I go a bit over 140, you --> u is one of the first things I look for, because readers recognize it and understand it easily.

Statistician

@Beth: To prove my theory on the big data defintion, I also define data as vector (not scalr). I believe data must have direction like vector, or else it's noise because you cannot track trend and predict value from it.

The politics of hoarding information has brought down many organization.
Prospector

Are you serious SRS1? To what end?

Data Doctor

@MFLo, its very common

Data Doctor

@Ariella, a new trend on twitter is having opinion leaders making misspellings and incorrect grammer the new cool thing. I.E TYLERthecreator

Master Analyst

Ha... I hardly even remember the white pages, TalkerZ

Data Doctor

By politically, I mean politics within an organization.  Some groups are very protective of what they consider "their data".  This sort of deals with who can access the data and who ultimately controls the data.  It shouldn't be that way, but it can be a huge barrier to optimizing access to meaninful data across a corp. 

Statistician
I sometimes think auto correct causes more problems than it solves.
Prospector

what comes after big data, the size is limitless

Prospector

And a good day to one and all!

Prospector

I still think peope should spell You with three letters, even on Twitter

Data Doctor

Hey everyone!  Happy Wednesday!

 

Prospector

@Ariella I have no problem with shortening words on Twitter (e.g. "you" = "u") if only because of the character limit.  For Facebook, on the other hand... {grrr}

Statistician

When you talk about semantic consistency you also have to add the language factor into you variables

Prospector

@@Arella, spell mistakes are common, more over peoples are using short forms while twitting and messaging

Data Doctor
Landline days went hand in hand with a major source of big data every home had called the whitepages
Prospector

I know of people and companies that have mutiple social media accounts that at times contradicts itsel.

Master Analyst

It really is a shame that we can't force all people on Twitter to spell all words correctly. It probably drives some people nuts. :D

Blogger

@wonoh.kim -- would your definition of big-data apply to ANY data?

Blogger

If he'd see the data consistency problems in the public transit industry, he'd go nuts...

Blogger

@SRS1 so they have quite a record on you. I suppose that would form part of the data that NJ ruled requires a warrant, though other states rule otherwise.

Blogger
Very few things are private. I wish we could get paid even a small amount for each bit of information people sell about us.
Prospector

If you want to discuss further on my definition of big data: "Transforming data into value", please send email to wonoh.kim@flukenetworks.com

Getting someone else's number was actually more common back in the days of landlines, I think

Data Doctor

Is anyone out there working on spatial data management and business analytics that are primarily based on spatial analysis ?

 

Prospector
Naked bellies? Please!
Prospector
Can you be more specific about politically rather than technically?
Prospector

There seems to be a weird perception that very few things are private

Data Doctor

Thanks Kim for clarifying.

Statistician

@Ariella, I belive Apple says they took down picture location data so that the user can use the info to segment photos by location and time-- however they didn't allow me to see this new data until this new ios update and they have been taking this info since i had the iphone 2.

Master Analyst

Maybe @TalkerZ...or else people will be posting shots of their naked bellies

Data Doctor

You must know how to handle data. How to transform value from data. As I defined previously, big data is not mining some value from a large set of data by luck. You must transform data into value llike alchemy.

@SRS1 I think this was one of those prepaid phones that you return when you're done with it.

Statistician

Kim, what do you mean by Data Science here?

 

Statistician

I guess data issues somewhat mirror issues within the ogranization in the sense that if your co. operates more in silos (multinational corps particularly have this issue) then often data is kept in silos.  Huge challenge to un-silo this data politically probably more than technically.

Statistician

And Enterprise Hadoop, the nice bundle is not cheap.

With Sercuirty at first up front, it can think of the issue straight forwards.

Prospector
Don't certain real life experiences transcend generational data perceptions? Pregnancy will always be an emotionally charged piece of information that the person will want to control.
Prospector
Love that! People are so naive
 
Prospector

"Petabyte and exabyte data volumes are becoming the norm, not the exception"...

Man, is that true, especially when toy're dealing with 3D visualizations of GIS-based map data ... of every site in an urban area ...

Blogger

@MFLoGrasso, wow that is hard to take. I thought phone companies could not give out old phone numbers.

 

Master Analyst

Yes. Hadoop source code is free. But overall operation of Hadoop is not cheap. Unless you are expert on data science and managing distributed system.

@SrS1 I see. Do you ever wonder what they do with that?

Blogger

True SRS1, but I still think Privacy and Security are key elements of data management

Prospector

Yes. Hadoop from Apache is free. But Enterprise Hadoop is very expensive. I recommend to start cloud if you don't have big data at startup.

@Ariella, Apple took down all my info when i took pictures like location, time, date, etc.

 

Master Analyst

@SRS1 All that because of metadata...

Statistician

Is Hadoop not free?

 

Statistician

Also another big mistake of big data is they think that Hadoop is free.

@SRS1 A few years ago, I texted a friend without realizing her number had changed, and her old number had been given to another person.  The "wrong number" I reached then harassed me for a little bit, so I showed her how within an hour, I could find out her name and home address as well as where she went to school from just one comment she made during her harassment, without even paying for anything.  She was shocked that any of this was possible.

Statistician

 Abject stupidity, I suppose.

 

Master Analyst

@wonoh, that very much essential

Data Doctor

@jdavis87, good point.

Master Analyst

@srs1 who got the data of the phot tracking before you turned it off?

Blogger

SRS1 -- total transparency or abject stupidity?

@Noreen, you mean why analogy to coffee shop? Because many big data projects are failed with nice system (Hadoop) but don't know what to do with data. Must undderstand data before inveest to system.

wonoh: why do people start with the system instead of the data?

Yes, it is easier to be a new company and start from scratch than be a large well-established company where you not only have to create new systems but work around existing ones that were never optimal in the firts place.  Sadly, sometimes I think it might be better to recreate the wheel, but no one wants to write-off an expensive system and start over because psychologicall that is wasted money even though continuing down the wrong path just wastes more money...in economics I think they referred to that as "sunken costs" or something like that??

Statistician

potential BD oriented buisness model: retreiving data from archive and loading in to big data clusters for cleansing

Prospector

I feel like younger people don't mind puting their personal data out for the public. You ever see how many personal photos and location data that they put out on facebook without thinking about their own security?

 

Master Analyst

I think when it comes to younger people, they have grown up with meta data like that being the norm

Prospector

@abdom that is sometimes misrepresented. I'm not even sure she was underage, and she knew she was pregnant. She just had not told her father who found out via a Target marketing piece.

Blogger

@Noreen, would you please ask me in detail? I'm sorry I don't understand your question

once of my current analytics is to find the count of infants died due to a specific drugs and the analytics related to that

Prospector

@SRS1 Do you think younger generations are less worried or simply uninformed about the potential uses of said data being collected?

Statistician

I turned off picture tracking now on my iPhone but it just opened my eyes as how easy it is to be tracked and how it was going on without my knowledge for years.

Master Analyst

SRS1 - Are younger people more complacent or just feel they can't change things?

 

I would guess that not many really have formal policies.

Data Doctor

But the biggest data management problems I've seen in public transit are under the oversight of ... the Federal Transit Administration.

Blogger

What % of enterprises even have a formal EIM initiative today?

Prospector

I've noticed that data security is something the older generations are more worried about, while the younger groups don't mind what is data is taken and how it is use.

 

Master Analyst

I can think of a lotta really big public transit systems that could benefit from this lecture...

Blogger

isn't it possible that a focus effort harnessing big data can lead a path to searching for the holy grail on the information highway? "head in the clouds" approach?

Prospector

One of my favorite applications of big data analysis is the study Target did to predict what women clients were pregnant. They got a teen girl in trouble because of this.

Prospector

See (and turn off) your frequent locations: In iOS 7, your device will track the locations you frequent. You can see those locations in a map in the Settings app. Open the app, go to "Privacy," then "Location Services," then scroll down to "System Services." On the next page, tap on "Frequent Locations." Once there you can toggle off "Frequent Locations" to keep your phone from tracking you. Or you can tap on your history to see a neat map of the places you visit most.

I always give an analogy of opening coffe shop dealing big data. Many people fails on big data project (according to Infochimps 55% fails compare to IT failure of 25%) because they start with system, such as Hadoop. It's like buying expensive coffee machine and don't know what coffee to sell. You must start from data. 

@tomsg true, they give a lot away about the individual

Blogger
Frequent location option?
Data Doctor

SRS1--I've been apprehensive about that too, especially that frequent location option

Prospector

There is a lot of metadata on pictures, text, etc that many people do not know exists.

Data Doctor

Not that I'm aware of.

Prospector

Sort of nebulous terms, aren't they?

Prospector

There are some companies that use cellphone data to model traffic. Awesome, no?

Prospector

Is there a truely recognized professional credential or instution's curriculum for data management, data scientist , etc ?

 

Prospector

After updating to the recent ios, I noticed that everytime I took a picture on my iPhone they took done the data of where it was taken and time. I never knew that apple stored location data from my pictures. Now I wonder what elese they are tracking and what they are doing with it.

 

Master Analyst

I think most are still don't know what to do with the tsunami of data they have!

Prospector
The metadata is scary if you really think about it. And the thing is we don't even know when it's being collected
Data Doctor

LOVE this metaphor --> Data is like your kitchen pantry.  It needs a good recipe and good chef to make it all become meaningful and memorable. from @InsightsRUs. // I usually use an example of water: data is can be an ocean, and if we don't know how to navigate through it, it's very easy for us to drown without the right boat and the right equipment.

Prospector

I wonder if most companies have a clear understanding of how to manage their data or if too many are just winging it

Prospector

Seems like EIM tries to implement holistic approach...

Blogger

as a lot of the good info

Prospector

@tomsg true with loads of metadata collected about users.

Blogger

I agree, InsightsRUs: Data is like your kitchen pantry.  It needs a good recipe and good chef to make it all become meaningful and memorable.

Master Analyst

LOL SRS1...that's very true. Sometimes, though, I feel its just TMI

Prospector

New phones are data first, voice second

 

Data Doctor

Also many people (from BI) treats big data as business analytics (BA) is part of big data but not big data.

Good way of putting it, InsightsRUs: Data is like your kitchen pantry.  It needs a good recipe and good chef to make it all become meaningful and memorable.

Prospector

@InsightRUs nice analogy

Blogger

good idea to review later in case you miss something

Prospector

@InsightsRUs -- great metaphor!

Blogger

New phones today have making phone calls as a second function. 

Master Analyst

Anyone want to share thoughts on data security?

@abdom -- yes, the lecture will be available on demand. You'll find it at this same URL.

Blogger

Data is like your kitchen pantry.  It needs a good recipe and good chef to make it all become meaningful and memorable.

Statistician

i think we may be able to access the archived audio

 

Prospector

I don't agree Gartner's big data definition on 3Vs. I don't think big data is mining data among collections of data. I would like to define big data as a set of value by transformation of a set of data.

first minutes weee just brief on slide 2, what we expect from big data...more data 

 

Prospector

I agree, Alexis. Inference still seems to be in its infancy

Prospector

Data overload has become more prevelent since computers started Multitasking and the internet became a business tool

Prospector

@TalkerZ my view, too!

Blogger
How in the world do we effectively infer meaning from text?
Data Doctor

Will this audio be shared later? I missed the first few minutes.

Prospector

Sometimes I wish my phone just made phone calls!

Prospector

Data overload seems to be a persistent problem, doesn't it?

It's true about the phones today being more complex than the space computers of the 60s.

Blogger

Data overload can come from...

• Audio lecture, at same time as...

• Trying to digest PPT, at same time as ...

• Trying to digest stream of comments...

Blogger
David do you think those in marketing have sufficient access to data to use it effectively?
Data Doctor

David will definitely get to discussion of master data management, or MDM, and data governance.

Blogger

It appears as though the most frequent context witghin which data management is discussed is in the retail environment.  Is there a venue, body of knowlkedge or communities of interest that discuss the value of data amanegement and analytics within the context/relam of physical security?

I work for the Dept of Defense and focus particulary on anti and counter terrorism related physical security and my interest in and practice of data management and analytics exists in that realm.

Thanks ... Harry

Prospector

ACK!!!  We're big data!!!

Statistician

Im interested in hearing what David has to say about master data management

Prospector

semi-structured data, interesting. Is that the combo or a thing unto itself?

Blogger

Where Big Data will fit in Enterprise Governance (i.e. IT or Information Security....)?

Statistician

David, Thanks for the slides!  Visuals are always helpful.

Statistician

@Noreen, wow you type fast!

Blogger

@Mark is it every possible to truly eliminate risk?

Blogger
•Analyses drive decision-making to:
•Increase revenue
•Decrease costs
•Improve customer relationships
•Enhance productivity
•Reduce or eliminate risks

Simple, right? Big-Data Objective: Improve Business Value

@Noreen, so long as it works now

Blogger
How do we differentiate hype from reality?
Data Doctor

It took me some time to get the slides to open, but I got them now.

Blogger

Hello and please feel free to post your questions

And we've begun ...

Prospector

good evening from saudia

 

Prospector

Hi everyone, Good morning or afternoon, dependng on where U r

 

Statistician

Good afternoon.

Prospector

@Beth:  Coffee is a good thing.   :)

Prospector

waiting in houston..

Prospector

While we're waiting for the lecture to start, please feel free to share what you're hoping to learn today. Where is your organization in crafting an enterprise data management strategy?

Blogger

@Mikerman -- is there any time of day that isn't good for coffee for you? ;-)

 

Blogger

Looking forward to today's discussion

Prospector

Still time for coffee ...

Prospector

This is Hang Lau, just log in to participate in the broadcast of "How to Manage All That Data".

 

Prospector

As a reminder to today's participants, if you haven't already, please download the slide presentation for today's lecture by clicking on the "Today's Slide Deck" link above this window.

Please also note that at start time, the audio player will appear in the window above. Please click the left-hand arrow to launch the audio (and sometimes you might need to click it more than once). If you're experiencing audio difficulties, please consider opening the audio in another browser.

Blogger

Look forward to the discussion today!

Prospector

Hello everyone! Thanks for the introduction Beth!

Prospector

Hi everybody. We'll be starting our lecture at 2 p.m. ET, and I'm so excited to be welcoming David Loshin, president of Knowledge Integrity, as a guest lecturer. If you haven't had a chance, check out David's preview blog while you're waiting for us to get started. He sets the stage for why big-data analytics and enterprise information management go hand in hand. You can read it here.

Blogger

Hello, looking forward to today's class.

Blogger

Greetings to All Analytics Aficiondos Everywhere!

Should be a great discussion today!

Prospector

hallo from Germany

Prospector

Good morning everyone. Looking forward to the session.

Prospector

Arrrgh! Today isn't the 25th! I'm an idiot.

Prospector

Starting in less than 24 hours

Prospector

well, I've been signed up, logged in, on my ca;lendar, got the deck, all I can't do is HEAR IT

Prospector

looking forward for tomorro's event

Prospector

And a good Tuesday to one and all!

Prospector

Looking forward!! thx again!!

hello everybody

Prospector

good info/ideas

Prospector

hope to attend should be interesting

Prospector

Hello from Oregon!

Prospector

Looking foward to the discussion.

Prospector

Look forward to this!

Prospector

Hey Everyone

 

 

Prospector

great to be here!

Prospector

I'll be there.....

 

Prospector

good afternoon everyone! :)

Prospector

hello everyone

Prospector

Looking forward to this!

Prospector


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