infa16

INFA16 Chat
How Data Powers Business: Discussing how Cloud, MDM and Big Data are powering business.
   5 years ago
#infa16INFA16 Event ChatHow Data Powers Business: Discussing how Cloud, MDM and Big Data are powering business.
Informatica World
Why do so many companies struggle to become "data-ready" enterprises? #MDM
Prash Chan
#1 - Fragmented data #2 - Absence of holistic data management #3 - Product-centric approach as against Customer-centric
Robert Karel
Most companies are not "data ready" simply because they're not ready to embrace data as a true asset. Shifting data culture from reactive to proactive takes significant leadership
monica smith mullen
People don't trust the data they have access to. They manage it centrally or fix it once. Things become out of balance and too much time is spent reconciling data #infa16
Robert Karel
Data was often hoarded by siloed parts of the business "this is mine, that's yours". Cross-functional leadership must break those down starting with the CEO
John Furrier
Organizational issues not technology
Debbie O'BrienWalery
You can see that the rise of the Chief Data Officer is a response to organizations trying to become data-ready, but it will take an entire company to working together to achieve this.
Ajay Gandhi
Data is not the end goal. Most companies struggle with translating data into business value e.g. data for customer purchase intent, data for customer sat, data for product benefit
monica smith mullen
@rbkarel I was just going to mention data hoarding! Big problem from poor quality of #data - believing others will misinterpret the data and make the wrong decision.
John Furrier
@monica1mullen DataHorders a new idea for Cable TV show..who's with me on this
Prash Chan
@debwalery "Takes entire Company", So true!!
Informatica World
@furrier We'd watch that. Netflix binge even.
Laura Wang
Lack of understanding of business processes by definition means you will be disconnected to the data an organization is generating. Time and again arguing about the data is senseless - the gap is in understanding the process that generated it.
Debbie O'BrienWalery
There is a great stat that "90% of all the data in the world has been generated over the last two years" that @franzaman and others have been talking about. Just the volume of data today and what is to come is overwhelming.
Informatica World
What does a typical #BigData journey look like? #INFA16
Ash Parikh
thanks for asking - this comes up all the time - it looks like this - http://www.computerw... #bigdata #datalake
Ash Parikh
people get started with manual approaches but soon realize that #datamanagement for small or #bigdata is no joke
Informatica World
@parikhash Surprised by stat: 70 percent of Hadoop deployments will fail to meet cost-savings and revenue-generation objectives
John Furrier
this is a "big" question :-)
Robert Karel
Journey is the right word. No two #BigData paths need to be the same, starts with a business challenge that isn't fundamentally being addressed the "old way" and a pilot to challenge the status quo
John Furrier
there are many vectors we see kind of depends on the situation and environment and of course older and newer workloads
Informatica World
@rbkarel I'm reminded of the "Family Circus" cartoon, in which Billy takes a journey from school to home
Robert Karel
The key to a successful #BigData journey is to go from sandbox or pilot to measurable benefits #ROI in a logical way
Ash Parikh
exactly and well said @RBKarel - what starts out as an experiment tends to remain an experiment due to the lack of due diligence around #datamanagement for #bigdata
John Haddad
often starts with data warehouse optimization, then an analytics data lake, then onward towards real-time and IoT.
John Furrier
one journey is that unstructured data drives the conversation - say #cloudnative or app specific workload
Ajay Gandhi
increasingly, the journey is starting when companies are looking to move some of their traditional analytical workloads to #bigdata environments for better ROI @infaworld
Carter Lusher
Use @ to reply A key mistake would be to "pave the cowpath" ie, thinking #bigdata is just an extension of what is currently being done
John Furrier
On hadoop it's clear from our data: two inhibitors are in play - 1) it's too hard to use and 2) total cost of ownership is high
John Furrier
if something is hard to do and cost more then it's not setup to scale but fail
John Haddad
many customers are seeking to build a marketing data lake to improve customer engagement and campaign effectiveness. They start with a few data sources and then add more to increase value
Prash Chan
@furrier @RBKarel I heard once from @TCEDataDiva - Right level of #DataGovernance in #DataLake to avoid turning into swamp
John Furrier
@rbkarel I agree it's perfect; beauty is in the eye of the beholder in terms of data.
Ash Parikh
@furrier i think it's important to establish one thing - #bigdata #datalake have a ton of promise - a lot of business value can be gained IF done the right way as we have been discussing
Informatica World
We've really enjoyed the #INFA16 @CrowdChat - Special thanks to @furrier @akgandhi @rbkarel and @parikhash for moderating!
Informatica World
To learn more about how data powers business, be sure to join us at Moscone West, May 23-26
http://www.informati...
John Furrier
engagement algorithm just added 5 minutes of overtime
Robert Karel
Thanks to @infaworld @furrier @AKGandhi @ParikhAsh for a great @CrowdChat! It goes fast, and lots of fun! Let's keep the conversation going!
Informatica World
Thank you all for your lively and robust participation! What an exhilarating dialog!
John Furrier
@rbkarel we will be bringing this to the event on @theCUBE
John Furrier
remember to vote for good comments the most vote getter gets the crowdcaptain award :-)
Robert Karel
@furrier Look forward to seeing you and continuing the conversation at Informatica World!
Ash Parikh
great discussion as always - every time i do this i fall more in love with #data and #datamanagement
Crowd Captain
Great chat today
John Furrier
Nice to meet such a great group. Cheers
Informatica World
Beyond the 3 V's, what other factors are driving the need for #BigData management?
Robert Karel
There's agility in doing small data workloads (marketing analytics) in elastic #BigData environments. Not all about scale
John Furrier
I think the 3 V's are a big outdated. Data is everything
Robert Karel
Three V's was a useful conversation starter, but none of the V's is about the business. Today #BigData is about what biz problems can we address more effectively with new technologies
Ash Parikh
@furrier - the one V that still needs to be addressed is #veracity
Franz Aman
for us in marketing it is not about size (volume) - schema on read vs write gives us agility
John Furrier
Ash: data quality will always be a challenge especially since context is a real time changing variable -this is huge challenge for systems of record to stay updated
Ajay Gandhi
the rise and importance of unstructured data is defining the business value of #bigdata now
Ash Parikh
you are right @furrier - its all about the data - so with that said, the fundamental principles of #datamanagement need to be respected and addressed in #bigdata
Carter Lusher
It's almost a cliché to say, but the brave new world of IoT is going to make #bigdata critical
Anwesa Chatterjee
agree with @furrier the 3Vs are outdated - so is the term big data probably. Its all about the applications of big data maybe the new V should be VALUE
John Haddad
the 3 pillars of big data management - big data integration, big data governance, and big data security are foundational
Ash Parikh
@furrier - if i were to pick one key factor standing in the way of #bigdata #datalake success - it would have to be #datagovernance #dataquality #datasecurity