ibminsight

For #FinServ, an insight-driven economy means better product/service design. It also leads to improved segmentation & customer service

Very pertinent from an #IoT angle, where the real value of IoT is from insights that can be gleaned from all the data connected devices are generating

It means competitive advantage - acting on the moment - "Right-Time" analytics.

It means leveraging data, technology and social in real-time so that you can engage & provide value at the RIGHT TIME!

In high-tech, it means that our customers use data, analytics, intelligent search, and social media to research their options online before they ever think to connect with a salesperson. A self-service buying journey.

Our mission @galvanize is to train #DataScientists and provide expert #Machine Learning services that drive insights.
The shift to an insight-driven economy is core to everything that @galvanize provides

@The real value will be in personalizing & niche-targeting travelers to help them plan their trips. Industry is very fragmented; big data can help

Getting one step closer to being a Digital Business

A1: It means feeling comfortable making data-driven decisions despite your level of tech expertise #analyticsforall

The "Business of Now"

It means making data-based decisions for everything from fraud management, to customer service and even product design.

I work in ecommerce and it is used ubiquitously. #Analytics insights are absolutely indispensable, period.

It means a 360 degree customer-of-one experience for all industries!

@IBMAutomotive insight throughout the entire vehicle buying and ownership experience.

For all industries, an insight-driven economy is one where data scientists are the key new developers of apps that ride on big data, machine learning, and cognitive computing.

Gain insight, take action, be a business champion - or cease to exist.

Optimizing device/human interactions. Improving usability. Creating new business opportunities.

The company that has the right data and the right analytics and infrastructure will survive and prosper - others will become irrelevant.

Being able to make better data driven decisions with marketing tactics

@zBigdata i'd argue the biggest key is empowering and trusting your people so that when they have the right data and right analytics they can take the RIGHT action!

For every industry, an insight-driven economy means one where every customer is empowered with the best, most current, most complete data to drive how they wish to engage with their vendors/suppliers. Open insights 24x7

Insight Driven Economy = Getting closer to the truth, reducing business risks and costs - while increasing opportunities for growth.

No Insight - no business.

It meas better customer service and individualized marketing as well as a true 360 view of the customer.

@iSocialFanz Agreed sir!

Transformational for sure! Empowers individuals certainly.

Current change in the Data world is hands down transformative, advances in #DL and distributed ML over the last years, not to mention text understanding have changed the game

. @ibminsight The pace of tech change in the #FinServ industry has been transformational. However, it can be prohibitive for those who can't adapt.

It simplifies once we invest the time in how to use it; there is a lot to learn at every level but once mastered the difference is incomparable

Big Data & Change aren't the issue... how we approach them... we must focus on trust, training & tools in that order... can't blame the tech of fight the change.. must empower, educate, execute!

A4:Travel industry is trying to distinguish between valuable insights & noisy data. Analytics has huge potential, but not always successfully used

Transformational, although costs can make certain things prohibitive.

.@ibminsight Access to analytics technology has always empowered my typical day job and those I've worked with for decades.

- Access to analytics empowers the typical day job because people can make better, faster decisions.

Transformational but many infrastructures were never designed for analytics let alone congnitive analytics. Must be able to leverage existing investments and infrastructure.

@wanderlust13 good point Veronica. Distinguishing from the noise is a critical issue in security as well.

Definitely transformational. Yes, access to #analytic technology would empower #social marketers like myself to have better #insight on how to market to our audience(s)

I'm seeing startups creating really innovative solutions that are being bought up by big businesses to fill gaps in their solutions. #fintech

@wanderlust13 I wonder if the industry is asking the right questions or empowering others to act on the data that is valuable... with no examples of success few will trust or act!

Totally empowering - but it should be transparent - part of everything we do.

Both. Technology has almost eliminated industry categories such as travel agents, but created aggregation & metasearch engines like online travel agencies. Transformational!

A4: should empower, but currently often complicates. Tech still quite flawed, inconsistent

Disruptive technologies are being integrated into existing solutions to cause transformation.

. @ibminsight The current pace of tech change in #FinServ also creates a burden for regulators

Tech change is definitely transformational in high tech. Among other things, our entire sales and marketing capabilty is shifting to online, self-serve, guided, personalized, and data-driven. So is our internal culture.

Every person needs have analytics working at every level of their life - in work or at home. Apps tha can analyse the content of your cupboards and refrigerators that can suggest meals to make based on your current health and needs.

Ubiquitous Analytics.

Travel loyalty programs gather massive data about customers & can tailor their services. But that requires more work. Online travel agencies have mastered this

empowers the day job, of course... but people need to be skilled to be empowered by analytics

Analytics is the new uber-app.

Access to analytic technology empowers, but it also complicates. What data? Which analytics? To drive which decisions? Which outcomes? How to track? etc. Not easy to retool your head around so much data, so many possibilities.

@dmgerbino Regulators are struggling to keep up!

@iSocialFanz Still a work in progress :)

Digital Business or go home.

Like anything, innovation presents opportunities and challenges. Transformation is based on evolution.

@zBigdata agree... out of site - out of mind - out of digital.. out of business!

I don't think this data-driven new culture is "prohibitive," if by that term you mean "only available/affordable/comprehensible to large organizations." It's well understood, very cost-effective in the cloud, and available everywhere.

Data science smarts are availlable widely too. And many people are bootstrapping themselves into this field. BTW, see you all at Datapalooza: http://www.ibmbigdat...

Everything has a learning curve, so analytics might complicate at first, but it will be worth it!

Q4. Transformational. Forced to consider new, better, faster technology so we perform POC's and review USE cases. This creates excitement based on new possibilities. Therefore the feeling of empower is born out of this new discovery.