big data & social insights

33
SOCIAL BIG DATA = ANALYTICAL INFORMATION + SOCIAL RESPONSES

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This is the deck from the Big Data and Social Insights breakout session from the Becoming a Customer Company event on July 17th, 2013. For more information, please head to magnet360.com

TRANSCRIPT

Page 1: Big Data & Social Insights

SOCIAL BIG DATA = ANALYTICAL

INFORMATION + SOCIAL RESPONSES

Page 2: Big Data & Social Insights

SAFE HARBOR

Safe harbor statement under the Private Securities Litigation Reform Act of 1995: This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties materialize or if any of the assumptions proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed or implied by the forward-looking statements we make. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product or service availability, subscriber growth, earnings, revenues, or other financial items and any statements regarding strategies or plans of management for future operations, statements of belief, any statements concerning new, planned, or upgraded services or technology developments and customer contracts or use of our services. The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new functionality for our service, new products and services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays in our Web hosting, breach of our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the immature market in which we operate, our relatively limited operating history, our ability to expand, retain, and motivate our employees and manage our growth, new releases of our service and successful customer deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger enterprise customers. Further information on potential factors that could affect the financial results of salesforce.com, inc. is included in our annual report on Form 10-K for the most recent fiscal year and in our quarterly report on Form 10-Q for the most recent fiscal quarter. These documents and others containing important disclosures are available on the SEC Filings section of the Investor Information section of our Web site. Any unreleased services or features referenced in this or other presentations, press releases or public statements are not currently available and may not be delivered on time or at all. Customers who purchase our services should make the purchase decisions based upon features that are currently available. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements.

Page 3: Big Data & Social Insights

PRESENTERS—ROB SILAS

• Over 20 years of experience in using data to drive strategy

• Founder of Numerical Truth, Insights and Analytics consultancy

• Areas of expertise: delivering insights from marketing, CRM, web analytics, and social data, both structured and unstructured

Rob Pix Here

Page 4: Big Data & Social Insights

WHEN YOU LEAVE TODAY, YOU WILL:

• Be able to identify the “low hanging fruit” for Big Data success at your company

• Know that Big Data success requires a plan tied to business objectives, the ability to provide insights, and leadership that understands both

• Hear examples of how companies are having success with Big Data

Page 5: Big Data & Social Insights

AGENDA

• What is Big Data?• The Value of Social Big Data• Necessary for Success: Planning, Insights, the

Leader• Using Big Data to Become a Customer

Company• Case Studies• Takeaways

Page 6: Big Data & Social Insights

WHAT IS BIG DATA?

Lisa Rosen

“Masses of data that you don’t know what to do with”

Svetlana Sicular

“Big data” is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.

Page 7: Big Data & Social Insights

2001

TEST YOUR BIG DATA KNOWLEDGE

Page 8: Big Data & Social Insights

Doug Laney

TEST YOUR BIG DATA KNOWLEDGE

Page 9: Big Data & Social Insights

IT ’S POPULAR

380,000 Mentions of Big Data, Past 90 Days

Page 10: Big Data & Social Insights

B U S I N E S S + S O C I A L D ATA

Page 11: Big Data & Social Insights

THE VALUE OF SOCIAL BIG DATA

Page 12: Big Data & Social Insights

THE VALUE OF SOCIAL BIG DATA

Page 13: Big Data & Social Insights

NECESSARY FOR SUCCESS: PLANNING

Strategic Planning

SalesMarketing

Innovation

Customer Service

• Industry• Competitors• Hot topics• Trends

• Purchase intent• Lead gen• Funnel analysis

• Brand perception• Brand reach• Content strategy

• Product Development• New opportunities• Desired features

• Issue resolution• Product performance• Support trends

Insights

Business Value

Page 14: Big Data & Social Insights

• Insights = relating data findings to business issues

• Need to look deeper into data to find insights: use advanced technology and “creative” analysis

NECESSARY FOR SUCCESS: INSIGHTS

Page 15: Big Data & Social Insights

• Use the Analysis—Insights Framework:

- What: reporting on the numbers

- So What: practical application to a business need/situation

- Now What: the actions to take based on the analysis

NECESSARY FOR SUCCESS: INSIGHTS

Page 16: Big Data & Social Insights

NECESSARY FOR SUCCESS: THE LEADER

But asking Big Data the right questions isn’t just a new practice to add to the management to-do list. Pulling it off requires a rethinking of the manager’s role entirely. We’ve traditionally thought of management as the discipline of managing people and managing the business. Now it’s time to add “managing our understanding” to the job description.

Ben ElowitzCEO, WetpaintAllThingsD, 5/20/13

When it comes to dealing with Big Data, our skills haven’t evolved as fast as our capacity. We all have a functional specialty, whether it be content creation or distribution or sales or management — so whose job is it to ask the right questions of the data? Big insights and actions aren’t led by a data scientist; they are led by an executive who has an integrated view of customers, products, distribution and sales.

Page 17: Big Data & Social Insights

DETERMINING INSIGHTS AND APPLYING THEM

Page 18: Big Data & Social Insights

79% of all Fresh Take conversations from women; most commonly aged 25-34

Fresh Take has 19% share of voice (4,674 mentions). When filtered for the voice of the consumer, Fresh Take has a 37% share of voice (2nd highest ).

Demographic

January 2012, there have been 24,600 total posts around Fresh Take and competitors’ brands

ConsumerVoiceTotal

Post Volume

OVERVIEW

Page 19: Big Data & Social Insights

RECAP OF FOUR SEGMENTS

Advance

Taste and Time

Innovator

Outcome and Taste

Oh That’s Cool

Skill and Wow Factor

Novice

Time and Skill Level

NoviceOh That’s Cool

Innovator Advanced

Page 20: Big Data & Social Insights

TasteTasteCostCostNewNew

PrepPrepFamilyFamily

Repeat Buyers

REPEAT BUYERS

95%

Page 21: Big Data & Social Insights

GROUPS OVER T IME

Innovators

Oh That’s Cool

Advanced

Novice

Time

CONVERSATION

Page 22: Big Data & Social Insights

The Novice

Is a group of consumers that has a

need for a product that is fast, easy,

simple, and cheap.

Is a group of consumers that has a

need for a product that is fast, easy,

simple, and cheap.

CookingIs a

Chore

Time

Price

8% at Launch 54% over time

NOVICE SEGMENT

Page 23: Big Data & Social Insights

This group is looking for a simple, cheap, fast, easy product with fail proof recipes.

Any negative conversations from this segment will be focused on price—they tend to be more of a transactional buyer

TIME

PRICE

Shops for products that are tailored to their inexperience in the kitchen

CookingIs a

Chore

NOVICE KEY FACTORS

Page 24: Big Data & Social Insights

“Cooking is not one of my favorite things. But, give me something to make is simple, quick and tasty and I’m all for it! If it’s a meal that my family likes, even better. ”

Connie Roberts –Bloggerhttp://brainfoggles.com, November 21, 2012

PROFILE OF A NOVICE

Page 25: Big Data & Social Insights

INTERACTIVE MAPPING

Page 26: Big Data & Social Insights

INTERACTIVE MAPPING

Page 27: Big Data & Social Insights

“Great Substitute”

“SO Cool!”

“Easy ”

GIVE VOICE TO THE CONSUMER & AMPLIFY

Novice

Oh That’s Cool

Innovator

Advanced“Texture/ taste

Rocks”

“New Ideas!”

“Cheap ”

Page 28: Big Data & Social Insights

SUMMARY

• Technology is critical to the success of Big Data, but just as important are:– Tying outcomes derived from data to business

objectives– Having the talent and infrastructure to find and

socialize insights– Leadership that understands the opportunities and is

willing to take risks

• Leading brands are using Social Big Data every day to improve engagement and find new opportunities to surprise and delight customers

Page 29: Big Data & Social Insights

LOW HANGING FRUIT FOR BIG DATA

• Social data, especially conversational data, is a good place to start Big Data efforts

• Technology exists to support it, and there are plenty of opportunities to:– Provide deep insights to drive strategies– Listen to conversations at scale and create scalable

engagement strategies

• Start by assessing current social data initiatives• Define most valuable Use Cases, other

supporting data available, and get started!

Page 30: Big Data & Social Insights

PLANNING YOUR SOCIAL MEDIA EFFORTS

• Know your business KPIs to the results level• What are the Use Cases that will best support

the KPIs?• How committed to Social are your C-level

execs? Do they understand the impact of “Good Data” and how to use it?

• What actions/activities are you doing around Social Media today?

Page 31: Big Data & Social Insights

LEARN FROM OTHERS’ EFFORTS

• Dove: used social data to measure and optimize their social media efforts

• Kraft: created new segments for engagement and increasing repeat purchases

• Common themes: – Willingness to take risks– Put systems in place to scale data collection and

engagement– Put resources in place to get key insights quickly and

take action (optimize)

Page 32: Big Data & Social Insights

Q&A

Page 33: Big Data & Social Insights