BigData

Data is Dumb. It requires a highly skilled team to prove hypothesis, extract meaning and generate new revenue streams

A platform for self service big data analytics is critical to getting the most from that team. In fact I am discussing this tomorrow bit.ly/2bMsoAD

best case would be to have a visional talk on executive level

Executive sponsorship is essential. It's not just in the hands of the CIO or in IT.

after the visionary workshop you should go one level below to discuss with all the stakeholders how it could look like more concrete

#BigData technology is divided into two main areas: customer experience or business ops.

Does the org want improve customer experience (blue pill) or business ops (red pill)? #DigitalTransformation

this is the reason why the have CDOs or external agencies

@jenstirrup @thorerabe and including the leaders of the line of business

Big Data projects are not IT only projects. All relevant business units need to be involved

Focus on compliment existing strategies and tool sets

Identify business stakeholders who can articulate desirable business outcomes

@unbelievable_m It truly is an end-to-end process - infrastructure, service, support, rinse, repeat.

the discussion has to be not technical - talk business

there will always be friction. Humans are averse to change.

@TheStorageChap @unbelievable_m what do you think of this?

infrastructure is the last they should discuss

@TheStorageChap completey right. data is definitly dump

actually the quality of data is crucial for each machine learning approach

When in comes to storage for big data, ILM principals are as important as they ever where. The more data you can store for longer the better the potential insights.

@TheStorageChap I will be joining this webinar too... still on the "data is dumb" comment

@jenstirrup I agree, Big Data and digital transformation are topics for the boardroom

We had a great blog by @thorerabe on the key elements to modernise business infrastructure in the big data context: https://www.linkedin...

@jenstirrup how to manage both: the blue pill and the red pill?

Data is interesting when it is put with other data. #DigitalTransformation allows you to focus on horizontal, not vertical data

Don't forget the importance of Applications. Digital Transformation requires Big Data, Analytics AND Applications. Apps are where orgs meet their consumers. Build Apps, Capture Information, Analyse for Insight, Iterate.

The first point was around that companies need to get analytics programs moving. Secondly, the need for best practice sharing in data analytics projects to not having to reinvent the wheel.

@unbelievable_m including... Marketing a key business function driving quite a number of innovative and transformational projects

The 3rd challenge to address is how to cope with the vast and growing amounts of unstructured data in their file services environment. @DellEMCisilon have an answer for that.

orgs can't spread themselves too thinly. You'll see success pop up downstream of your efforts.

@TheStorageChap @suzyspaatz and then implementing tools to auto-deploy your apps in hybrid cloud environments? #alien4cloud

I recently helped deliver a project for a healthcare organisation, which had a great #DigitalTransformation program with a focus on business purpose first

One of my projects was mentioned here: http://www.bbc.co.uk...

Businesses can do so much to help themselves with #DigitalTransformation

Pechanga, a casino in Temecula. Pechanga realised significant benefit from EMC’s Big Data Solution in the form of much deeper customer interaction and getting return business.

The secret is: people must work together. Leave egos at the door. Look through other people's lenses #DigitalTransformation

from the retail in sector in Germany we go for multi channel concepts to get products easier to consume and produce....data analytics was a big part of the decision process and the actual business process

#BigData projects are essentially collaboration projects. It's key to pull the pieces and people together in one vision

Inovalon, a data service provider to the healthcare and insurance market. Their whole business model is based on their ability to deliver data to that market with additional value-add in terms of the insights they can generate.

#AtosCodex recently embarked on a mission to consolidate thousands of data sources globally for a product testing and certification company

CRM, PDF, CSV, Handwritten notes in Mandarin... #BigData

in the banking sector we do security projects

this year we build up a data science lab for a large traveling agency. key learning for the customer: lots of problems with their internal data landscape (quantity, quality and distribution)

we implemented a mobile app for image recognition of machine parts for a large engineering company

Join us for one of 50+ #DellEMCForum events around the world for customer and partner presentations on #BigData analytics, as well as modern infrastructure considerations. http://bit.ly/EMCFor...

#DellEMC will be also be at @hortonworks #futureofdatashow, #clouderasesh & #SplunkLive across EMEA this autumn. https://community.em... - More opportunity to talk about case studies.

we need to look horizontally across the organisation to show effects of #DigitalTransformation

we need them consolidated this would also solve the savings issue in parallel

- Data Silos need to be consolidated, but the data still needs to be governed and secured.

So, a revenue increase could mean reduced operational costs while optimizing sales

most large companies have a big zoo of different data storages. data scientist need effective access to all of them. thus consolidating the data landscape should be on the agenda

When you think about the technology requirements to get the most from Big Data think, Ingest, Store, Analyse, Surface, Act.

need to understand priorities e.g. is the focus on operational efficiencies? mobile and online presence? #DigitalTransformation

very important is access and secure data

organisations are very good at answering siloed questions

When in comes to storage for big data, ILM principals are as important as they ever where. Tiered storage that can span on-prem AND off-prem solutions is important.

@jenstirrup and include all the business functions... with Marketing 1st :-)

and BD and Sales and IT

if the data is held in silos, then the #analytics are also siloed. This is the power of

@unbelievable_m the rise of the data steward

siloed data doesn't mean that we need a huge #datawarehouse.

@CelineLBo In South Africa they talked about the maître d' storage!

when it comes to store and analyze large amounts of data many of our customers use Hadoop and Spark

@jenstirrup the priority is to stay relevant and competitive while driving operational efficiencies

A #datalake means people ask right horizontal qs across the business, not within a department

@thorerabe @suzyspaatz shared platform infrastructure should incorporate tiered protection strategies - software defined storage models, encryption, network segmentation

@CelineLBo yes, it's difficult to balance. Usually solved by 'who shouts the loudest' gets the attention

@TheStorageChap I keep going back to how to access the data or how to ensure that the different functions "release" the data needed to go to the datalake

@jenstirrup who shouts the loudest :-)

@jenstirrup @CelineLBo The HIPPO Challenge - Highest Paid Persons Opinion!

@CelineLBo well from my experience there is a strong demand for it