• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

Digital Transformation from 40,000 Feet

June 15, 2017   Mobile and Cloud

The size of competitors and the longevity of their brands, are less predictive of future success than the quality and speed of their information logistics systems, and their ability to use it as a competitive advantage.

ThinkstockPhotos 86803430 Digital Transformation from 40,000 FeetMore data is being generated today than ever before, and successful companies are investing in business analytics and big data solutions to mine competitive advantages.  There is a new sense of urgency today as businesses realize data has a shelf life, and the value of it diminishes rapidly over time.  In an always-connected world where consumers and their needs are transient, timing is everything and a special type of data is needed – real-time data. In order to capture competitive advantages and contextual relevance before data expires, enterprises must deploy optimized information logistics systems (OILS) that deliver on the potential fast enough to exploit it. 
Mobile consumers are impatient and demand instant results.  IT infrastructures must be able to support real-time mobile and IoT (internet of things) interactions, and this requirement will increase as mobile commerce is predicted to grow to 47% of all e-commerce by 2018.  Supporting real-time information requires not only real-time IT environments, but also digital transformation across the entire organization. In order to succeed, businesses must react to location-based and time-sensitive information while it is still contextually relevant.
Data is the lifeblood of e-commerce, mobile commerce and increasingly in physical stores where the digital and physical worlds are rapidly converging. As commerce rapidly shifts online and mobile, the success of products, brands and companies are increasingly dependent on data and systems that consume it in order to support the demand for more personalized digital experiences (Read Cutting Through Chaos in the Age of Mobile Me). How an organization makes sense of data, protects it, and disseminates it is a complex and challenging issue.
Data strategies and the execution of them will determine the market winners of the future, and the future is now. Businesses are learning from Amazon, Google, Facebook, Netflix and others that effective data and analytics strategies are the secret to success in digital markets (Read How Digital Thinking Separates Retail Leaders from Laggards).  Information dominance is now the strategic business goal. 
In the book Code Halos, authors Malcolm Frank, Paul Roehrig and Benjamin Pring, describe how the revolution today in data and analytic strategies are impacting industry structures in “consistent and violent patterns.”  In another recent study, 82 percent of investors and equity analysts believe industries are being disrupted by innovations in data and analytics.  They believe these innovations will alter competitive dynamics.
In addition to investments in IT, achieving real-time operational tempos in an enterprise takes rethinking business models, organizational structures and business processes.  It requires new ways of operating and employee training.  Supporting real-time operational tempos is a daunting task many will fail to prioritize, and will suffer as a consequence. 
The winners of a digital tomorrow will invest in four key areas:
  1. Optimizing their information logistics systems
  2. Supporting real-time operational tempos
  3. Increasing business agility
  4. Using contextually relevant data to personalize digital user experiences  
The purpose of these investments is to capture the value of data, exploit the meaning, and attract more customers and loyalty through the speed of their enterprise operations.  Speeds should be maximized in the following 5 areas:
  1. IT system speeds
  2. Business process speeds
  3. Decision-making speeds
  4. Digital and Business Transformation speeds
  5. Aligning with changing customer behavior speeds
Optimized information logistics systems that support real-time speeds will take advantage of sensors, online interactions and mobile devices to collect data.  Sensors can take multiple forms.  They can be embedded chip technology that monitors physical and chemical environments and wirelessly transmits digital results, or they can be software code that monitors contextually relevant opportunities, moments and environments (CROME) by reading data inputs collected from all digital sources.  CROME triggers are “meaningful bits of data that when captured and analyzed can activate time-sensitive and relevant personalization that can be used to enhance user experiences.”
CROME triggers integrated with real-time artificial intelligence algorithms can transform the potential value of data, into kinetic value by instantaneously personalizing a user’s experience and making it contextually relevant.  
Businesses that embrace digital transformation will optimize their organizational structures and business models to support the operational tempos required by a mobile and connected world.  By tempos we mean the pace or speed at which the organization must operate to compete successfully.  Increasingly mobile and connected device users demand real-time responses.  To support real-time responses requires an enterprise to move beyond “human time” and into the realm of “digital time” (Read 40 Months of Hyper-Digital Transformation).  Humans as biological entities operate at a pace governed by the sun, moon, and the physical requirements to keep our carbon-based bodies alive.  These requirements and mental limitations make scaling humans beyond these time-cycles impossible without augmentation.  Augmentation takes the form of intelligent process automation, artificial intelligence and algorithms.  These types of augmentation technologies have the advantage of being able to work 24x7x365, and don’t as yet ask for holidays off.
Once an organization is capable of supporting real-time tempos, and can support the personalized interactions mobile users demand, the challenge becomes business agility.
Agility is the speed at which a business can recognize, analyze, react and profit from rapidly changing consumer demands in a hyper-competitive market. Businesses that can accurately understand customer demand and their competition, and then respond faster, will soon dominate those, which are slower.  The military strategist John Boyd called these competitive advantages, “getting inside of your competitor’s decision and response curves.”  This means your actions and responses are occurring at a pace that surpasses your competitions’ ability to comprehend it.
Businesses must recognize the demand for real-time operational tempos is only going to increase and this requires strategy, action and a budget. The principle of acceleration and mobility states, “As the number of connected devices increase, the demand for digita interactions will exponentially increase, resulting in an even greater need for digital transformation involving business operations, business processes and IT environments.”  Delaying a response, or denying the need for these requirements are not winning options.
Sub-optimal information logistics systems, and the glacial operational tempos of yesteryear will not succeed in today’s or tomorrow’s world, and company valuations have already begun to reflect this.  One-third of investors and equity analysts surveyed believe that good data and analytics strategies are rewarding companies with higher valuations.  Gartner’s Douglas Laney has even coined the phrase infonomics to describe how information, as a new asset class, can be measured to estimate its impact on company valuations.
To succeed in the digital future, CIOs must implement innovative data strategies and information logistics systems capable of winning in a real-time world where contextually relevant, instant and personalized experiences are required.  A good new book on the subject of preparing for this new reality is “What to Do When Machines Do Everything.” They must develop company cultures where change is viewed as an opportunity.  They must digitally transform their businesses to operate at real-time tempos and move beyond “human-time” limitations to algorithm supported “digital-time.”  They must understand that rapidly changing digital consumer behaviors mandate companies operate in a more agile manner capable of rapid responses to new opportunities and competitive threats.
I invite you to watch my latest short video on digital technology trends and strategies: 
 Follow Kevin Benedict on Twitter @krbenedict, connect with him on LinkedIn or read more of his articles on digital transformation strategies here:
  1. Winning in Chaos – Digital Leaders
  2. 13 Recommended Actions for Digital Transformation in Retail
  3. Mistakes in Retail Digital Transformation
  4. Winning Strategies for the Fourth Industrial Revolution
  5. Digital Transformation – Mindset Differences
  6. Analyzing Retail Through Digital Lenses
  7. Digital Thinking and Beyond!
  8. Measuring the Pace of Change in the Fourth Industrial Revolution
  9. How Digital Thinking Separates Retail Leaders from Laggards
  10. To Bot, or Not to Bot
  11. Oils, Bots, AI and Clogged Arteries
  12. Artificial Intelligence Out of Doors in the Kingdom of Robots
  13. How Digital Leaders are Different
  14. The Three Tsunamis of Digital Transformation – Be Prepared!
  15. Bots, AI and the Next 40 Months
  16. You Only Have 40 Months to Digitally Transform
  17. Digital Technologies and the Greater Good
  18. Video Report: 40 Months of Hyper-Digital Transformation
  19. Report: 40 Months of Hyper-Digital Transformation
  20. Virtual Moves to Real in with Sensors and Digital Transformation
  21. Technology Must Disappear in 2017
  22. Merging Humans with AI and Machine Learning Systems
  23. In Defense of the Human Experience in a Digital World
  24. Profits that Kill in the Age of Digital Transformation
  25. Competing in Future Time and Digital Transformation
  26. Digital Hope and Redemption in the Digital Age
  27. Digital Transformation and the Role of Faster
  28. Digital Transformation and the Law of Thermodynamics
  29. Jettison the Heavy Baggage and Digitally Transform
  30. Digital Transformation – The Dark Side
  31. Business is Not as Usual in Digital Transformation
  32. 15 Rules for Winning in Digital Transformation
  33. The End Goal of Digital Transformation
  34. Digital Transformation and the Ignorance Penalty
  35. Surviving the Three Ages of Digital Transformation
  36. The Advantages of an Advantage in Digital Transformation
  37. From Digital to Hyper-Transformation
  38. Believers, Non-Believers and Digital Transformation
  39. Forces Driving the Digital Transformation Era
  40. Digital Transformation Requires Agility and Energy Measurement
  41. A Doctrine for Digital Transformation is Required
  42. Digital Transformation and Its Role in Mobility and Competition
  43. Digital Transformation – A Revolution in Precision Through IoT, Analytics and Mobility
  44. Competing in Digital Transformation and Mobility
  45. Ambiguity and Digital Transformation
  46. Digital Transformation and Mobility – Macro-Forces and Timing
  47. Mobile and IoT Technologies are Inside the Curve of Human Time

************************************************************************

Kevin Benedict
Senior Analyst
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin’s YouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies


***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Let’s block ads! (Why?)

The Center for Digital Intelligence

40000, digital, Feet, from, Transformation
  • Recent Posts

    • Accelerate Your Data Strategies and Investments to Stay Competitive in the Banking Sector
    • SQL Server Security – Fixed server and database roles
    • Teradata Named a Leader in Cloud Data Warehouse Evaluation by Independent Research Firm
    • Derivative of a norm
    • TODAY’S OPEN THREAD
  • Categories

  • Archives

    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited