infa16

#1 - Fragmented data #2 - Absence of holistic data management #3 - Product-centric approach as against Customer-centric

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

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

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

Organizational issues not technology

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.

@debwalery exactly!

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

@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.

@monica1mullen DataHorders a new idea for Cable TV show..who's with me on this

@debwalery "Takes entire Company", So true!!

@furrier I'm in!

@furrier We'd watch that. Netflix binge even.

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.

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.

thanks for asking - this comes up all the time - it looks like this - http://www.computerw... #bigdata #datalake

people get started with manual approaches but soon realize that #datamanagement for small or #bigdata is no joke

@parikhash Surprised by stat: 70 percent of Hadoop deployments will fail to meet cost-savings and revenue-generation objectives

this is a "big" question :-)

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

there are many vectors we see kind of depends on the situation and environment and of course older and newer workloads

@rbkarel I'm reminded of the "Family Circus" cartoon, in which Billy takes a journey from school to home

The key to a successful #BigData journey is to go from sandbox or pilot to measurable benefits #ROI in a logical way

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

often starts with data warehouse optimization, then an analytics data lake, then onward towards real-time and IoT.

one journey is that unstructured data drives the conversation - say #cloudnative or app specific workload

increasingly, the journey is starting when companies are looking to move some of their traditional analytical workloads to #bigdata environments for better ROI @infaworld

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

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

if something is hard to do and cost more then it's not setup to scale but fail

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

@furrier @RBKarel I heard once from @TCEDataDiva - Right level of #DataGovernance in #DataLake to avoid turning into swamp

@rbkarel I agree it's perfect; beauty is in the eye of the beholder in terms of data.

@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

To learn more about how data powers business, be sure to join us at Moscone West, May 23-26
http://www.informati...

engagement algorithm just added 5 minutes of overtime

Thanks to @infaworld @furrier @AKGandhi @ParikhAsh for a great @CrowdChat! It goes fast, and lots of fun! Let's keep the conversation going!

Thank you all for your lively and robust participation! What an exhilarating dialog!

@furrier woohoo!

@rbkarel we will be bringing this to the event on @theCUBE

remember to vote for good comments the most vote getter gets the crowdcaptain award :-)

@furrier Look forward to seeing you and continuing the conversation at Informatica World!

Thanks everyone. @infaworld @furrier @RBKarel @ParikhAsh for a great @CrowdChat!

great discussion as always - every time i do this i fall more in love with #data and #datamanagement

Great chat today

Nice to meet such a great group. Cheers

.@infaworld value... veracity...

There's agility in doing small data workloads (marketing analytics) in elastic #BigData environments. Not all about scale

I think the 3 V's are a big outdated. Data is everything

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

@furrier - the one V that still needs to be addressed is #veracity

for us in marketing it is not about size (volume) - schema on read vs write gives us agility

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

the rise and importance of unstructured data is defining the business value of #bigdata now

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

It's almost a cliché to say, but the brave new world of IoT is going to make #bigdata critical

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

the 3 pillars of big data management - big data integration, big data governance, and big data security are foundational

@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