IBMDigitalBiz

> Can you be a digital business if analytics isn't driving the bus?

A way to store, mine, and display the information to strategize and execute on.

> Reporting is not Driving.

Data & Analytics aren't the whole story but when mirrored with business strategy and context it's a game-changer for brands to innovate faster, scale and ultimately provide new unique experiences in real-time at the right time!

Insights gained from analytics should be used to drive business decisions in all departments and functional areas.

Analytics role is to bring insight to the applications or reporting tools

data and analytics are at the heart of digital business, with real time cadence

@JeffFrick yes, but you will not necessarily stay competitive for long. Further, if you're not infusing smart analytics, your also falling behind.

Analytics will increase business value, revenue and make company competitive

Analytics should sharpen the point / edge of your company vision.

More than ever analytics becomes more important but the dynamics change dramatically

lets you know if you are heading in the right direction.

It is about speed, immediacy, analytics at every transaction and interaction

Analytics brings together the tools, processes, people to achieve the 3 D2D's: https://www.mapr.com...

Analytics is the core intellectual property in your Digital Business. It drives continuous extraction of data-driven insights to drive both real-time decision automation (e.g., recommendation engines) and decision support (eg mobile apps)

Analytics of analytics.... at the micro and macro level

And agility should NOT be ignored. So changing analytics at the speed of the business condition is key.

Analytics is the new competitive differentiator for understanding and interacting with your customers - - it is required at all levels of the business - across the entire enterprise - the analytics must be highly timely, accurate and secure

analytics is to digital business what human criteria is to non-digital buisness

@HeleneLyon "Analytics at the speed of your business condition" <> I like that!

@CastilloEi > Can you explain?

Insights to lead competition, shape the market, improve profitability / business value.

> Used to say Cash Flow is the blood of business. Is Analytics the new cash flow?

Data+Analytics = Data2Discovery, Data2Decisions, Data2Dollars

Big data analytics, such as machine-learning algorithms developed on Apache Spark, are what ensure continuous next-best actions in digital business, leveraging best historical, predictive, and event-driven intelligence.

Data Analytics ushers in the new ROI = Return On Innovation!

@JeffFrick Data might be new Cash Flow. Snapchat is worth billions on its data alone. But for smaller business, cash flow is still blood.

All these interconnected devices are interesting but to me - it is all about the data. And why generate unless you can extract value out it. It is all about the analytics. #Spark must have a role here.

Analytics is NOT only a DATA concern! Think about enhancing processes with improved operational decision management

> TTM - Not time to Market, but Time To Money - via Craig Barrett @Intel

Output from B.I. is a report. Output from Analytics (DataScience) is new knowledge!

Analytics helps you do real-time behavioral analysis of customer propensities, thereby helping you tune predictive models to maximize acceptances, responses, engagement, etc.

@HeleneLyon > Beyond improved, what can now be done different with the new information?

Data is to Analytics and ingredients are to recipes

@JeffFrick Very interesting. Perhaps understanding analytics in real-time and acting upon it is!

@JeffFrick with lots of data, artificial intelligence algorithms and the need to take millions of decisions in real time, you need analytics instead of human minds en your day to day business in the digital age

Hello all, time for question #6 on Security

Analytics helps you do proactive risk mitigation through all linked value-chain processes, controlling your exposure to churn, bad debt, manufacturing defects, supply chain bottlenecks, currency fluctuations, and other potential downsides.

Please look at the top of your screen for question #6

I would like to see more organizational psychology (Behavioral Analytics) put to use

> You could have the mind of Einstein & the body of Schwarzenegger but without blood flow, you're dead.
Cash flow is the blood of business. Where does analytics fit?

@jameskobielus James: your answers should be bound into book form. Awesome!!

All that legacy data - how ever we want to refer to it is the core of much of today's analytics systems..... The system of record is being augmented and merged into the bigger digital business picture.

Analytics and Data are the backbone of today's business decision making process.

Hello!! Please look at question #6

at the top of your screen

@KirkDBorne @jameskobielus > Good with the big words!

An organization’s IT infrastructure needs to real-time, secure, always-on, unaffected by the unexpected, accurate, autonomic and unceasing.

In the world of the digital business, everything (devices and resources) and everybody is integrated.

Systems are intelligent, dynamic, adaptive, secure, self-configuring, self-aware, self-discovering and self-healing.

Enterprise architecture that spans data stores and data warehouses through analytics, models, algorithms, process and applications.

IT organization have to accept the changes to survive! LOB don't call them for 80% of their project.

#ibmdigitalbiz A3: Need Embedded, Intelligent, Dynamic, Data-driven business systems

Digital conversion of legacy/manual processses, integration of current technology systems, buy-in from executives to invest in a new (more efficient) way of operating.

By "intelligent", I mean "machine learning"-enabled, with business decisioning rules embedded

IT Organization needs to get architects that can talk to LOB and accept the business need they have; some can be done EASILY with existing technology

Open up to the possibilities and see that the way things were done is not conducive to survival.

Need a completely cloud-facing agile cross-channel enterprise architecture powered by single version of truth big data with inline decision automation, next best action, and machine learning.

I think business need to be able to spin on a dime - to be able to sense, react, respond be much more proactive.... respond in the digital moment....

Business need an "enterprise nervous system"

Need strong engagement between the big data analytics & cloud teams in your IT org, as well as between IT and the lines of business. It's a long-term enterprise architecture collaboration that needs to be cross-LOB and top-to-bottom.

Business need an "Enterprise Responsive & Manageable System"; and yes z Systems can be that animal!

> People, Process, Tech. Changing people's behavior and attitudes, always the most difficult part of the equation.

The ability to store and process any and all types of data at an ever increasing rate.

Digital Business must own the phrase "We are a data business"

Need tight collaborations between Chief Data Officer, Chief Operations Officer, and other executive-level sponsors in order to get business buy-in to sustain Digital Business ongoing

Blows away tradition boundaries of master data management - taking in to account data from devices that their customers interact with to create that more holistic picture and influence the customer's next move.

culture mindset and a digital platform i believe

Does this mean that businesses will need "total information awareness ?"

Customers should not jump on emmerging technology like Hadoop without thinking about data governance and scalability

Agree w/ @JeffFrick > Digital Biz requires changes in People, Processes, Performance Metrics,...

True marketing automation system with robust backend infrastructure to analyze that customer of one

gaining executive sponsorship to drive an integrated, enterprise wide digital strategy

Great replies!! Time for question #4

Please look at the top of your screen for question #4

@Swaneroo That "marketing automation" piece is hard but critical to achieve "segment of one" personalization

Start Small! Think Big! Scalability and performance will be key with (too much) Big Data

@BizCrit_Insight Agree with need for executive sponsorship, but beware the HiPPO: https://twitter.com/...

Hello all, please look for question #4 at the top please