Showing posts with label digital. Show all posts
Showing posts with label digital. Show all posts

Sunday, 20 September 2015

Self-Service an important function & channel to improve user experience and reap other company benefits


Increasing push for Self-service

Consumers, companies, partners, suppliers, public administration and many other industry players & stakeholders are embracing the benefits of self-service.

Top drivers of Self-service are budgetary, staffing and 24/7 support demands plus many other advantages (user empowerment, additional service channel, transparency, analytics into user behavior, service desk freed from mundane task to up-skill and provide quality service on key issues).

Over 80 percent of all companies across industries have started or planning to start self-service initiatives and programs. With nearly every company of a particular size benefiting from self-service, there is a huge market and business opportunity for vendors, consultancies and systems & application integrators.

Mobility, in-depth consumer insight, global fierce completion with alternative offerings and ease to switch, and high service standards set by top digital leaders are consumers to expect increasingly better service.

Service desks will need to adapt and change to meet those user expectations and requirement through innovative service offerings and delivery. Self-service is on part of the solution.

Users are increasingly tech savvy, IT able and willing to initiate their own service request, undertake self-diagnosis and look to self-help to provide them with solutions to their problems. Some research indicates that a large percentage of consumers already considers self-service as the preferred channel to gather information, conduct transactions and solve problems. This is particularly true for mobile users and young people who grow up in the digital age.

Self-service can lead to a faster and better user support in key areas and can help increase overall user/ customer satisfaction.

Definitions

Self-service refers to the process by which customers or users can help themselves. The customers or users deliver their own service without the need for help or intervention. Self-services is useful as it reduces the number of calls to Service Desks (increasing productivity, efficiency and cost savings), empowers users to initiate requests (helping to customize services to real needs) and helps overall streamline operations and make them more agile.

Self-help offer users the ability to diagnose/ troubleshoot their own problems and find/ administer their own solutions. FAQs or wikis are the most basic self-help functions.

A Self-service portal is a Website that enables users to perform to gather information, resolve issues and conduct transactions.

Web self-service is a type of electronic support that allows customers and employees access information and perform routine tasks over the Internet without requiring any interaction with a representative of an enterprise. WSS is widely used in CRM and employee relationship management (ERM).

Overall challenges

In many cases self-support is still immature in many companies, due to a number of challenges

- Lack of time, resources, knowledge & IT literacy, budget and demand from users.

- Company culture (users accustomed to phone up the Service desk; up to 40 percent of employees do not want to use self-help tools)

- Reluctance to change

- Correct processes & procedures have not yet been formalized.

- Lack of ownership to drive and manage the self-support function.

- End users are not involved enough.

- Difficult to up-keep knowledge and content

- Different user devices (BYOD), number of channels and expectation of individualization increases complexity and costs

Technical challenges

  • Many users need to connect now with backend systems that have never been designed for more than a limited number of users.
  • Self-service must integrate with SharePoint, social media, federated knowledge sourcing while supporting personalization, dynamic mapping to multiple information sources (wikis, knowledge articles, document stores and multiple websites)
  • Old systems with lack of scalability and modularity lead to performance problems.
  • It is a complex task to create a robust and effective self-support solution.
  • It requires input from many stakeholders and department across the organization (management, HR, finance, compliance & legal, IT, etc.)

Common Mistakes with Self-Publishing tools

  • Some companies believe that a self-service desk is a one-time investment/ effort
    • Instead it is an ongoing process of adaptation and improvement
    • Poor Self-service can result in even a higher burden to the service desk!
  • Neglected, insufficient or misapplied use of metrics
  • Content and knowledge are not up-to-date, poorly structured, too overwhelming or lacking important pieces
  • Data and knowledge are not in sink/ integrated across the different channels, functions and databases
  • Ignorance about key numbers
    • total costs of service desks, total costs of self-service, cost savings and other value generated to support an ongoing business case
    • Inability to demonstrate savings & value will undermine management confidence and undermine overall support

Keys to success

  • Develop an easy logical tree structure for the self-service content
  • Focus on the important. Ensure good readability. Do not put up all information.
    • 20 percent of areas/ content cover 80 percent of user needs.
  • Focus on adding true, tangible value to the users
  • Establish sound metrics to cover all key areas
  • Monitor progress through metrics and Analytics
  • Continuously fine-tune, improve and adapt
  • Identify the people/ groups that do not use self-help and investigate root causes
    • Typically at least 20 percent (or more) of people in companies do not want to use self-help
  • Identify the issues that generate most of the requests to the service desks and offer self-service mechanisms
    • Examples of high volume requests: Password resets
  • Automatize or offer self-service mechanisms for mundane tasks
    • helps personnel focus on more interesting work and develop more 2nd level support abilities; will reduce staff turnover
  • Create service catalog and measure/ track cost of service provision and cost of contact
  • Try to establish costs of users’ work time spent on solving their own issues (productivity cost)
  • Deploy the marketing function to raise awareness about self-service tools and encourage people to use it.
  • Build and support community groups where users help each other on issues.
    • Incentivize key contributors through honor badges and other forms of recognition.

A 10 Step implementation process for Self-Service

  1. Determine the overall need & opportunity
    1. Identify best to serve user and customer segments/ groups
  2. Define the service with specific value contributions
  3. Develop and present a sound business case including…
    1. Situation analysis, goals and expected benefits
    2. Calculate cost components (development, implementation, run costs, etc.) and TCO
    3. Propose solution with expected quantified cost savings
  4. Assemble team end develop plan
    1. Form a cross functional team of subject matter experts
      1. Use marketing for key communication & culture change support
    2. Appoint driver of self-service transformation & program
    3. Ensure full executive support
  5. Design portal with excellent user experience
    1. Determine and prepare key information and search mechanisms
  6. Define suitable solution architecture
    1. Modularity, Integration with overall platforms, systems, databases, connections & bandwidth, personalization, etc.
    2. Align with organization and corporate website
  7. Select suitable technology
    1. Must support current and foreseeable future user needs
  8. Develop roadmap, release plan and roll out in stages
    1. Keep content, applications and platform current
  9. Drive progress
    1. Take advantage of “low hanging fruits”
    2. Follow your roadmap
    3. Communicate successes across the organization
    4. Engage users, form and support self-service communities
  10. Proactively gather feedback and improve upon your efforts upon it
    1. Establish and monitor key metrics
    2. Track ROI of individual and overall efforts

Conclusion

Almost every company needs to offer self-service functionality for employees, customers, partners, suppliers and other counterparts. It is a huge market for vendors, consultancies and system integrators.

This article has shared with you advantages as well as business, technical and other challenges. It also offered an approach to help companies develop and implement self-service in their organizations.

For further discussion, questions or mutual sharing of best practices, please contact me directly at alexwsteinberg@gmail.com

Wednesday, 9 September 2015

The massive digital impact on the industrial companies, economy and job market


We are already moving from an Outcome-based Economy (connected ecosystems, platform enabled market place, pay-per-outcome) to an Autonomous Pull Economy (continuous demand sensing, end-to-end automation, resource optimization, waste minimization and workforce transformation).

Key digital enablers

Digital transforms physical industries through connected products, systems, processes, people and artificial intelligence:

-          Cloud with its inexpensive & abundant storage enables aggregation of data streams from a large variety of sources.

-          Advanced Analytics offers descriptive and increasingly prescriptive decision support leveraging algorithms, automation, deep domain expertise such in material science, electrical engineering, etc.

-          Real-time Analytics enables real-time response to cyber physical systems.

-          Ubiquitous connectivity extends to physical products, infrastructure and all types of things.

-          Machines, devices, facilities, fleets and networks connect through intelligent sensors, software applications and controls.

-          New technical data standards and technical architecture bring together the different players across the ecosystem.

-          Data-driven decision making (DDD) – research indicates that companies, which use it considerably more competitive and profitable

The opportunities to aggregate and optimize

The learning experience of each machine can be aggregated into a single information system that accelerates learning across the entire machine portfolio and even entire network of the overall organization. Learning exponentially increases.

An aggregate view across machines, components, sub components and even materials enables optimal products, parts and other inputs delivered, at the right time to the right location, in the most efficient way.

With big data and new data compression techniques plant managers can track massive data streams of all devices continually and correlate diverse data from different devices & source to generate valuable insights for improvements formerly impossible. New visualization abilities, growing knowledge banks, etc. further improve decision making.

The cloud allows to overcome traditional information & data silos within organizations. It allows enables to bridge former boundaries among organizations, industries and locations.

Real-time diagnostics and predictive analytics will reduce maintenance costs and prevent machine breakdowns before they occur, avoid capital damage, revenue loss and accidents. Engineers can question systems on irregularities and receive intelligent response within seconds. Fleet and logistics will be optimized in real-time, improving the entire supply chain.

Everybody speaks about the Consumers, but the impact on the industrial companies is at least as big!

Industrial Internet advances will enable enhanced asset reliability by optimizing inspection, maintenance and repair processes. It will improve operational efficiencies across all operations down to the very device level.

GE has done a tremendous work on analyzing the impact of digital to the industrial sector. They estimate the potential benefit of digital (they call it Industrial internet) to the global economy worth $80 trillion by 2025, approximately one half of the entire global economy!

Just a one percent productivity increase in the commercial aviation industry, for example, would translate to $30 billion over 15 years. And this only counts fuel cost savings!

A one percent productivity gain in the global gas-fired power plant fleet could yield $66 billion savings in fuel consumption. Health care savings could amount $63 billion. World rail networks $27 billion. Similar savings and productivity gains apply to all industries…

Manufacturing becomes important again

Research proves that Services becomes the major GDP contributor and driver in developing countries. Among the leading nations it is between 72 percent (Japan) and 80 percent (USA).

However, manufacturing is important to sustain wages and living standard of the overall population. Industrial nations need to revisit this issue and re-build their manufacturing sector.

The Industrial Internet allows again to effectively compete with developing nations’ low manual costs.

Important success drivers

Security

Robust cyber security is essential to manage vulnerabilities and protect sensitive information and intellectual property as well as personally identifiable information (PII). It must cover the devices, networks and the cloud with vulnerability lifecycle management, end-to-end protection, intrusion detections/ prevention systems, firewalls, logging and network visibility, and sufficient security training for engineers, management and users.

Data needs to be encrypted on the devices as well as in the transmission of data.

Every player in the ecosystem has a role to play: Technical vendors (product design, supply chain, embedded security features), Asset Owners/ Operators (secure facilities and networks, cooperate with regulators and law enforcement), Regulators & Policymakers, Academics (train specialized people such as digital-mechanical engineers, data scientists, etc.)

Data Centers

The data is increasingly exponentially. From 2012 to 2025 the data will multiply by perhaps 40 times! The majority of data centers to process it in 2025 have yet to be built.

Job losses and new roles

Digitalization will bring an unprecedented change in the global job market. Many traditional professions and positions will be taken over by programs, robots and other emerging technologies. Automation will eliminate many people in the low skill levels. But also very educated people will be affected. (Read my blog on IBM Watson and the health care industry).

With the elimination of jobs new roles are emerging: Next generation engineers (blend traditional engineering skills with informatics & computing to serve as digital engineers), data scientists (who can blend statistics, data engineering, pattern recognition, advanced computing, uncertainty modelling, visualization) and user interface experts (industrial design of human-machine interaction, operation through gesturing and facial recognition, etc.)

The difference between Industrial revolution and the Industrial Internet

The instrumented industrial machine systems have connected with the physical & human networks and entered into a continuous cycle of communication, exchange and mutual learning.

While the industrial revolution focused on resources and physical objects, the Industrial Internet focuses on innovation, knowledge, software and intelligent systems & devices.

Network, fleet, asset and facility optimization happens through intelligent devices, systems and decision making.

Potential Problems & Challenges

The Industrial Internet promises us operational improvements across all industries worldwide. Based on the benefits of the Internet we can extrapolate the positive outcomes of the Industrial Internet:

-          Cost-deflation (similar as when companies adopted ICT equipment)

-          Labor productivity growth (1996 -2004 it generated 3.1 percent on average)

-          Average GDP growth could be 25 to 40 increase (based on a productivity increase of 1 percent)

However, all calculations are based on the assumption that labor and capital would accumulate at the same pace. That is not realistic, given that perhaps 20 to 25 percent of jobs may become obsolete by 2025. And it is simply not sensible to believe that shop keepers, manual labor workers and other less skilled people can be up-skilled enough to stay competitive. What to do with these people?

 This article incorporates thoughts, research & content of GE as well as of other thought leaders


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To share your own thoughts or other best practices about this topic, please email me directly to alexwsteinberg (@) gmail.com.

Alternatively, you also may connect with me and become part of my professional network of Business, Digital, Technology & Sustainability experts at

https://www.linkedin.com/in/alexwsteinberg   or
Xing at https://www.xing.com/profile/Alex_Steinberg   or
Google+ at  https://plus.google.com/u/0/+AlexWSteinberg/posts


 

Saturday, 5 September 2015

Key trends in mobile and making the right technology decisions


Mobile Trends

Mobile companies are focusing on connecting the next billion consumers. In many developing countries most people by-pass the computer and go directly mobile.

Our generation Z has already grown up with the intuitive understanding of click & find, click & know, and click & buy. Mobile is increasingly becoming the starting point for everything, not just an add-on. Many young people already consider their mobile device as a remote control to life.

The car is becoming a mobile device. Mobile is set to transform the banking, financial & payment markets. Mobile wallets are already replacing cash.

Mobile devices are becoming integral part of the consumer process: Wearables (smart glasses, watches, wristbands, body implants), Appcessories (mobile devices with computational abilities to collect and analyze data about the world), medical smart phones (serving as wellness gurus, performing self-diagnosis, reminding about exercise and medication), etc.

People expect the content to be increasingly personalized, hyper relevant and automated.  

Brands recognize the opportunity to reach the right people, with the right message, at the right time to achieve maximum impact. They will focus on privacy, permission and preference of their target audience. People have a much lower tolerance for unsolicited messages arriving at their mobile device (considered part of their being and personality).

Building a long-term strategy for mobile from a technical perspective

Integrated mobile commerce capabilities are a must for companies. Selecting the right technology approach is critical to drive user experience, cross channel activity, profitability, etc.

Select the right mobile environment

Mobile sites appear in the browser of any internet enabled device, which most likely can access it. No need for users to download anything. Content is automatically formatted to the device. HTML5 gives mobile Website increasingly App-like capabilities.

Mobile applications require download from the market place. The applications native capabilities provide enhanced functionality such as caching for off-line usage, GPS location service, scanning…

Usually companies do not have to make large investments in new technologies to support mobile expansion. Companies can leverage their core technologies including e-commerce platform, merchandising tools, product information, Content management system user reviews.

Four options to build your mobile environment

Companies can either develop and implement a mobile solution themselves or use outside help from various sources. Here, are four main options organizations may consider:

1)      Create and manage home grown solution.

a.       It allows for tight integration and full control.

b.      But it requires much technical skills, ramp up time and upfront cost.

2)      Engage a mobile service provider.

a.       You can obtain a fully outsource mobile solution, including development, hosting. Expertise is acquired, existing internal skills and capabilities can be leveraged. Maintenance and long-term support are guaranteed. There a short ramp up time and modest upfront costs.

b.      But there is duplication of website data and configuration. Often lack of integration with existing infrastructure. High long-term TCO. A first workable solution, but unlikely to achieve a consistent user experience due to lack of integration with primary website and existing e-commerce solutions.

3)      Engage a software provider that has expanded into mobile

a.       Tight integration with existing infrastructure. Robust capabilities & features; integration of existing infrastructure & tools. Ease of maintenance and long-term support.

b.      Software provider’s mobile IP & technology expertise may not be cutting edge. There are upfront costs.

4)      Engage an agency

a.       Full service design & implementation (even manage customers, if desired). Advanced, custom-designed features with highly differentiated user experience; rich environment and integration with existing infrastructure.

b.      High-cost engagement, expensive to manage, difficult to change user experience; loss of in-house control, longer lead times.



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To share your own thoughts or other best practices about this topic, please email me directly to alexwsteinberg (@) gmail.com.

Alternatively, you also may connect with me and become part of my professional network of Business, Digital, Technology & Sustainability experts at

https://www.linkedin.com/in/alexwsteinberg   or
Xing at https://www.xing.com/profile/Alex_Steinberg   or
Google+ at  https://plus.google.com/u/0/+AlexWSteinberg/posts


 
 

Thursday, 3 September 2015

Big Data Series – Part 5 – 12 immediate suggestions to build a data supply chain


Immediate suggestions to build a respective data supply chain

-         Consider data as perhaps the most important asset in your organization. Become data driven. Some people call it “data religious”.

-          Research about Big data & Analytics best practices. It requires continuous learning. Refer to the different approaches offered in previous blogs (Data Acceleration Part 1 and 2).

-          Do an inventory of existing data. Focus on most frequently accessed and time-relevant data.

-          Identify, simplify and optimize inefficient data processes. Eliminate manual, time-consuming data curation processes (such as tagging and cleaning).

-          Identify currently unmet business needs and develop solutions.

-          Identify and overcome data silos.

-          Simplify and standardize data access through a robust data platform

-          Build an effective technology stack using one of the four suggested options while leveraging some of the described six components (Data Acceleration Part 1 and 2).

-          Further explore API management, traditional middleware, PaaS and other possibilities

-          Analyze current internal data sources and look for still hidden sources. Explore external sources to increase quantity and quality of available data.

-          Identify and improve individual data supply chain streams

-          Develop a systematic roadmap for building an effective overall data supply chain

 Special thanks to Accenture Technology Labs and Analytics Group, whose thought leadership, best practices and white papers have served as inspiration and knowledge source for this Big Data series.

Wednesday, 2 September 2015

The car – the evolution from transportation vehicle to moving life space


In-vehicle technology options are primary purchasing decision driver for now about 40 percent of car buyers; this compares to less than 15 percent how value car performance as still most important.
Entertainment, Security, Energy Management, Smart City Solutions (aid for parking solutions, traffic control, intermodal transport), Concierge services and other. 90 percent of people claim to be at least interested in autonomous driving abilities. By 2030 research institutes predict that more than 40 percent of all vehicles will be self-driving.
The vehicle’s own embedded communication system and the smart phone become the most important pieces of the connected vehicle. However, Consumer Electronics develop much faster than OEM electronics in vehicles. Their development life cycle and progress is much faster.
The mobile phone appears to become the gateway and the control device to manage all devices and services in and outside the car. Apple considers already the car as an accessory to the mobile phone. Its Apple CarPlay system seeks to take control of the human-machine interface, which used to be the domain of the car manufacturers and their branding. Google’s Android Auto seeks the same. Each could control the entire user experience.
Apple, Google and Microsoft are increasingly moving into the car manufacturing industry and are set to cause major disruptions for OEMs. Telecommunication companies and their ability to help overcome regional and fragmented solutions also have a role to play.
Car manufacturers need to enable and assure easy over the air downloading capabilities avoiding any recalls and upgrade in the dealership. A common standard with a central docking station in the vehicle would provide a platform and instrument cluster to bring together the traditional dash board with full range of new services.
The non-profit GENIVI Alliance that works on an open-source development platform for a variety of in-vehicle infotainment (IVI) solutions and the Open Automotive Alliance launched by Google will help on the standardization efforts. Ford’s Sync is the first development platform, where different companies can develop their applications first for mobile phones, which are then connected to the vehicle’s onboarding system.
Beyond consumers, industrial vehicles can send engine performance, driver behavior, energy & fuel consumption to central site for processing, maintenance, control and optimization. Predictive maintenance can be customized according to industry verticals.
The days are fading when a car was considered just a transportation vehicle. It has evolved into a moving life space where people expect and will receive the same services as in their homes.

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To share your own thoughts or other best practices about this topic, please email me directly to alexwsteinberg (@) gmail.com.

Alternatively, you also may connect with me and become part of my professional network of Business, Digital, Technology & Sustainability experts at

https://www.linkedin.com/in/alexwsteinberg   or
Xing at https://www.xing.com/profile/Alex_Steinberg   or
Google+ at  https://plus.google.com/u/0/+AlexWSteinberg/posts