Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Dion Hinchcliffe

Dion Hinchcliffe



How To Scale Social Business For The Real World



(Page 2 of 3)

While many companies still have policies in place that force interaction with the company to occur at well-defined delivery points, the reality is that this approach is largely counterproductive and unnecessary. We can usually achieve far more by connecting with our customers and the marketplace through these social, mobile, and cloud-based channels, than by trying to block them out one-by-one, "whack-a-mole" style, as they pop up. I've made the case over the years for this, in terms of generating significantly and exponentially (in some cases) higher returns and cost efficiencies to our businesses. That is, if we're willing to adapt how we work to these new channels. The genie is out of the bottle in most industries: If we don't do it ourselves, our competitors certainly will, sooner or later.

The point here is that we've learned that we generally can't adopt social media and other high-scale new digital models in makeshift ways, and then expect strategic value to suddenly appear. Not so surprisingly, clear strategy and effective leadership in these new digital channels is a must for those who want to take the shorter path. While ad hoc adoption will certainly create value, more effective methods of activation exist.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In fact, it's only when we have an evolving and adaptable plan for dealing with fast-emerging new engagement technologies that we'll achieve the ability to incorporate the innovations in the customer experience in a way that's likely to generate the kind of impact we want. The discussion recently of "outside in" business architectures is what we're talking about here in terms of rethinking how we manage to absorb the rapid changes coming from the consumer world today.

[ Related: What CIOs Should Know About 'Outside-In' Architecture. ]

Put another way, with the advent of social media in particular, we've crossed a digital Rubicon of sorts in the last few years: We've entered a new age of engagement, whose hallmark is the entire modern world being fundamentally and continuously connected to each other in highly varied and useful new ways, just as the previous age of transactions defined how we used technology to create, keep track of, and manage our workloads.

As we arrive in this new age of engagement, a billion or so people around the world have migrated to a constellation of new digital channels. More pertinent to this discussion, they are now using them in an attempt to engage with the organizations they do business with, with varying degrees of success.

Certainly, most organizations have already received the message at a high level. They maintain Facebook pages and Twitter accounts, they may have a mobile app, and they're exploring new digital channels on the edge, including Foursquare, Pinterest, and dozens of other new entrants. Many of them have even created their own enterprise social networks (or their employees have), and some of them have created customer communities and other social media constructs where the inside and outside of their organizations can meet and work.

Continuous Evolution Of Engagement

However, it's where new customer expectations and behavior meet widespread changes in engagement technology that many companies are struggling. Although we've now seen the rise of the chief customer officer in recent years, and the creation of social media and next-gen mobility centers of excellence in many large companies, there's still a major imbalance within most organizations as they try to appropriately adjust the level of effort they put into all the engagement options now open to them.

The good news: At any given time, for every individual business, for every industry, for every set of customers, there is the right set of investments to make in the emerging edge of engagement. The bad news: It's usually not until afterward that you fully know what that set is.

However, most organizations can begin to create capabilities now that are resilient and adaptable to the parade of new forms of engagement that will no doubt continue streaming from the consumer world. It turns out that these new two-way and open forms of communication have key supporting constructs that can be laid down and used across them relatively consistently.

Organizing properly for social business at a strategic level is probably the top-level concern when it comes to how a company as a whole can prepare for how people will engage with them in the future. But tactically, much more can be done while this much longer term effort takes place in fits and starts at the core of the organization.

« Previous Page | 1 2 | 3  | Next Page »


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.