Reputation management techniques that work amidst the unceasing flow of information
Reputation Strategy and Analytics in a Hyper-Connected World is a complete guide to corporate communications and reputation management. Covering a range of scenarios from ideal to catastrophic, this book provides a clear blueprint for preparation, execution, and beyond. The discussion focuses on data-driven, evidence-based strategies for the modern digital economy, providing actionable frameworks, practical roadmaps, and step-by-step blueprints for deploying advance analytics, predictive modeling, and big data techniques to successfully manage communications and reputation. You'll learn how the right tools and people get the job done quickly, effectively, and cost-effectively, and how to identify and acquire the ones you need. Coverage includes the latest technology and cutting-edge applications, bringing you up to speed on what excellence in communications can realistically be.
We live in an age of interconnectedness and transparency, and information travels at the speed of light to reach nearly every corner of the globe. This book shows you the key strategies and operational tactics required to respond successfully to financially damaging assaults on your company's reputation.
Execute world-class corporate communications
Prepare for best- and worst-possible case scenarios
Manage organizational reputation in the digital economy
Pick the right team and the right tools to get the job done
Stories, rumors, lies â there is no safe haven. Big data, cloud, and mobile technologies are fueling a perfect storm of immense proportions, overwhelming the capabilities of organizations and individuals attempting to manage their brands and reputations when hit with damaging information or harmful stories. Reputation Strategy and Analytics in a Hyper-Connected World shows you navigate the never-ending information stream to keep your company out of the undertow.
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Executive Summary: In a digital networked ecosystem with no clear time or physical boundaries, traditional strategies and tactics deployed by communication professionals will not work, and might even be harmful. Newer and more agile methods based on careful data analysis and scientific reasoning are required.
These days, it seems as though every executive feels obligated to talk about the critical need for collecting data, managing data, analyzing data, storing data, and harvesting insights from data. All of those activities are important, but whatâs even more important is creating a corporate culture in which data is respected, valued, and understood. From my perspective, the primary barrier to extracting value from data is culture, not technology.
The processes of data science are inherently collaborative and cross-disciplinary, which essentially means you cannot do data science in a vacuum. It cannot be relegated to the basement or to a back room. Itâs a team sport. There are plenty of moving parts that require careful orchestration and dedicated leadership.
Too often I see data siloed in specialized groups or I hear people talking about using data to generate insights. Your organization can have all the insights in the world, but they will not help unless you have a culture that knows how to transform those insights into ideas and effective decisions.
In the twenty-first-century economy, data is the fuel we use to make better decisions. Itâs the raw material from which we manufacture success. We have to use that data and then take action.
Changing the Culture
Saying that an organization is âdata drivenâ doesnât mean itâs being run by computers. It means that key decisions are informed and influenced by evidence, which is derived from data. Not every decision needs to be made by human beingsâan increasing number of decisions can be delegated to software applications and other forms of automation. For example, you donât need a human to decide whether to turn on the air conditioning in the summer. That kind of decision can and should be automated.
For the most part, weâre fine with delegating straightforward decisions to machines. But now thereâs a widening area in which weâre not so sure how much decision-making power we really want to share with our software applications. For example, farmers used to decide when to water their crops. Now, exquisitely complex systems of machinery, software, mobile devices, and sensorsâincluding cameras mounted on airborne drones and orbiting satellitesâdecide when itâs necessary to turn on the spigot.
The real question facing us is whether we want to use our increasingly sophisticated decision-making technology not just to grow better grapes and keep our shopping malls cool in the summer, but to improve the performance of our companies and organizations.
The question that executives should be asking is not about technology. For the most part, the technology you need to make better decisions is already available. The question executives need to ask is this: How do we transform our organizations into data-driven cultures?
The Digital Revolution Has Rewritten the Rules
Itâs not exactly fresh news that digital information technologies have changed everything, but itâs worth repeating: Digital information technologies have changed everything.
On many levels, we all understand that weâre living through a revolution, but the reality has not fully set in. In the communications industry, for example, most of us pay lip service to ânew media,â but few of us are genuinely comfortable operating within the digital environment, which now surrounds and envelops us so completely.
Some of my best friends still pine for âthe good old daysâ when most of our business was done at lunches or over the phone. I also experience a twinge of nostalgia and fondness for the past. Itâs only natural. In the past, everything was easier, simpler, and slower. Or at least, it seems that way.
What we had then, that we donât have now, is a routine. There is no well-worn path or standard operating procedureâyet. For decades, we relied on a comparatively narrow set of reflexive responses to whatever challenges came our way. Table 1.1 is a gross simplification, but it will remind you of how we typically dealt with problems before everyone had a computer, a smartphone, and a Facebook account.
Table 1.1 Typical Responses of Functional Silos Operating within Traditional Organizations
Communications Function
Standard Response
Public relations
Write a press release
Media relations
Call a reporter
Corporate communications
Send a company-wide memo
Marketing communications
Write a brochure
Advertising
Place ads in traditional media (print, radio, TV, billboard)
Collaborating, Crowdsourcing, and Co-Creating
Modern digital technologies donât merely help us manage larger amounts of information more quicklyâthey enable us to interact with the information we handle. We are no longer passive customers of informationâwe sample it, we modify it, and we share the results of our improvised tinkering across the social networks that we help to create. Today, everyone is a publisher.
In the past, developing and distributing content required significant upfront investments of capital. You needed lots of money to buy printing presses and television transmitters. And you needed even more money to hire people with the skills, talent, and experience necessary to create content that you could distribute profitably to a large audience. Publishing and broadcasting companies were run like factoriesâproducts were manufactured from component materials and then distributed through various channels to customers.
Digital information technologies have liberated content creation from that industrial model. Some would argue that content creation has been democratized. To some extent, that is true. But I think it would be more accurate to say that content is increasingly created through collaboration and crowdsourcing. At any given hour of any given day, we are interacting with content and co-creating new content.
Why is that relevant to all of us in the communications industry? Itâs relevant because it means we need a new playbook. The rules have changed. The game has changed. We need to change.
Constant Change Is the New Normal: Welcome to the âAlways Onâ Era
In hindsight, it seems as though we had been living in a placid universe when events unfolded with predictable linearity. Suddenly, and without warning, we find ourselves thrust into a turbulent universe in which events occur in unpredictable patterns at lightning speed.
In this new universe, no one gets to dictate the terms of engagement. Dynamism is the new reality. Constant change is the new normal. In a universe in which every customer is âalways on,â instantly able to find the lowest price, the best deal, and the fastest mode of delivery, no brand can afford to be âsort of onâ and count on customer loyalty for very long.
The old playbook assumed that brands would talk and customers would listen. The new playbook makes no such assumption. The new playbook is based on our awarenessâand acceptanceâof an empowered public, armed with all the tools and skills of the digital age. The empowered public doesnât sit still, hates being categorized, and is always looking out for the next new wave. Engaging with them requires a new mindset, a different set of skills, and a deep understanding of their inherent dynamism. In the new universe, dynamic engagement drives communication strategy and generates real business outcomes.
Dynamic Engagement versus Traditional Communication
Unlike traditional approaches to communication, dynamic engagement assumes that tactics must be adapted to the situation. Context is everything. Just because Plan A worked for Client B last year doesnât guarantee that it will magically work for Client C this year. Data can point the way toward applying previously successful solutions, adapting them to a new situation, or finding an altogether new solution.
Dynamic engagement is like cookingâpeople get bored when you serve the same meal, and they can always tell when you donât use fresh ingredients.
Traditional strategies were a blend of art and science, with the emphasis strongly on art. There was a general belief in the power of instinctââgut feelingsââover the power of process. In this book, we will argue in favor of a more balanced and carefully reasoned approach.
Our argument is based on the simple truth that in todayâs digitally connected hyper-reactive global culture, events unfold so rapidly that relying primarily on our gut feelings to solve complex problems would be the height of arrogance.
And since we all know that pride comes before a fall, letâs agree to ditch the arrogance and accept the reality that we can no longer control the message. The genie is out of the bottle, the ship has sailed, and the die is cast.
In F. Scott Fitzgeraldâs novel The Great Gatsby, Nick Carraway warns Jay Gatsby, âYou canât repeat the past,â and yet sometimes it seems as though many people in our industry are trying to do exactly thatârepeat the past. Why? I think that the need to be âalways onâ in todayâs media world leads many of us to want to react immediately, and the simplest way to ...
Table of contents
Cover
Title Page
Copyright
Acknowledgments
Introduction
Chapter 1: Welcome to the Networked Ecosystem
Chapter 2: Progress through the Revolutionary Storm: Why Data Science Matters
Chapter 3: The Digital Media Revolution Creates Completely New Business Models
Chapter 4: Breaking the Branding Sound Barrier: The Role of Reputation Strategy
Chapter 5: Reputation and Your Brandâs DNA
Chapter 6: The Economics of Reputation
Chapter 7: Co-Creation Is Essential for Aligning Brands and Customers
Chapter 8: The Data Safety Net: Leveraging Evidence in the Midst of Crisis
Chapter 9: Reputational Partnering
Chapter 10: The Reputation Culture
Chapter 11: The Reputation Payoff: The High Stakes of Crisis Leadership