Category: Insights

• Using AI to Boost Decision Intelligence

  Decision intelligence (DI) connects AI and human decision-making to form more intelligent conclusions, leading to improved results.

  Many business decisions rely heavily on data and analytical models designed for the current business conditions and when the context changes, the effectiveness of the decisions may be compromised or fail to keep pace with the rapidly evolving marketplace.

  Effective decision making in today’s complex and disrupted business environments must be contextual, connected and continuous to drive good outcomes.  It is systems, it is people, it is management, and its is directional.  DI needs direction to be impactful.

  With the evolving requirement to make ever-faster decisions leveraging disparate data systems that are constantly in use, organisations are using increasingly complex techniques, involving multiple stakeholders and choices, that must bring together a wide array of data to facilitate effective decision making.

  In a recent Gartner survey on making better business decisions, 65% of respondents said the decisions they make are more complex than just two years ago, and 53% said they face more pressure to explain or justify their decisions.

  People are making a lot more decisions in today’s organisations.  Not all of them are correct, not all of them are incorrect.  With DI, it’s not the amount of decisions, it’s the impact of the decisions you make and moreover “don’t make” that has the greatest impact.  So how do you choose the right ones to make?  Which will have the greatest positive impact?

  Capabilities must improve to make the best possible decisions in an agile and flexible manner, rapidly, accurately and in the shortest possible time.

  As lines between strategic, tactical and operational decisions also become more blurred, leveraging Decision Intelligence to improve decision making can drive better business outcomes while creating a new core competency by reengineering decisions in a way that deals with the increased complexity and uncertainty of your marketplace.  There is just as big an improvement in people, their output and their resilience/commitment to the business, as there are revenue increases and cost savings.

  Decision Intelligence delivers cross-organisational decision sustainability by building models that use principles aimed at enhancing their traceability, relevance, trustworthiness and replicability to develop decision making systems that are increasingly contextual, connected and continuous. 

  Decisional awareness requires systems that are more connected on all levels, hierarchically and operationally, in a manner that facilitates sharing of data and insights across organisational boundaries.

  Every decision affects other parts of the enterprise and ecosystem.  No decision stands on its own and decision alternatives need to be evaluated in a context-sensitive manner that looks beyond the scope of the individual transaction or event.  DI wants you not to see just linear steps.  DI needs you to see panoramically…and set up the right way Decision Intelligence can help you to do that.

  Decision making is becoming a continuous process that needs to be responsive to opportunities and disruptions across the entire enterprise.  Effective decision making that is contextual, connected and continuous can result in a host of business benefits, including greater transparency, accuracy, scalability and speed, that result in improved results and increased profitability.

  Decisions should be a trusted, reliable core capability for every business. Without making effective and efficient decisions, the organisation will be blind to changes in market conditions, customer perceptions and behaviours. DI sets up the business to have multiple ‘Canaries in the Mine’.  After all, who likes surprises.

  Effective decision making, reengineered to be contextual, connected and continuous, accounts for any uncertainty and improves the ability to add clarity across the entire operation.  This is part of the human touch where communication is paramount.  DI solutions do not exclude the need for communication in any organisation.

  If you are able to handle more uncertainty than others, comfortably and with skill, then you create a way to differentiate in a competitive environment and a competitive advantage that allows you to evolve and thrive as market conditions change.

  May 12, 2022

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  Baibi Australia

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  Insights

  Artificial Intelligence, Decision Intelligence

• Gartner Research Insights On Making Better Business Decisions

  In today’s complex and disrupted business environment, effective decision making must be connected, contextual and continuous to drive good outcomes.

  Understanding how to make better business decisions is a challenging concept.

  If you’ve ever heard the phrase “we’d be able to make a much better decision on this if only we had data on that”, then you’re not alone.

  By relying heavily on data and analytical models designed for the current market conditions, it is often hard to keep up when market conditions or context change.

  In a recent Gartner survey, 65% of respondents said the decisions they make are more complex than just two years ago, and 53% said they face more pressure to explain or justify their decisions.

  Decision making is a core activity that is becoming increasingly more complex, involving broad considerations and their potential impact.

  Leveraging data and analytics to improve decision making requires reframing what is essential and who or what is involved, resulting in a new core competency that drives better business outcomes.

  Developing decision intelligence competencies does not require every decision to be reengineered, rather it’s about applying a reengineered thought process around decisions that can’t be made effectively with a traditional approach.

  Start using decision intelligence in your business by considering the data you need and what data you could exploit to understand the elements of the decision making process that are best left to people or what should be handled by technology and determining what collaborations are most important to get the business intelligence to make better decisions.

  Consider how to make decisions with a contextual, connected and continuous mindset.  Engage stakeholders early in the process to discover what data and which insights would enable more impactful outcomes.

  Decisions should be a trusted, reliable core capability for every business.

  Decision making, reengineered to be contextual, connected and continuous can account for uncertainty while adding new clarity to business decisions that can become a competitive advantage.

  Follow the link to read the complete Gartner Analysis on How to Make Better Business Decisions.

  April 29, 2022

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  Baibi Australia

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  Insights

  Decision Intelligence

• Capitalising on AI in Your Business

  The thought of implementing Artificial intelligence (AI) can be a source of both excitement and apprehension.  If you have neither of these two, then you probably haven’t thought through what you’re about to do…

  As a broad definition, AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

  AI enables technical systems to perceive their environment, deal with what they perceive, solve problems and act to achieve a specific goal. The computer receives data, processes it and responds.

  AI systems are capable of adapting their behaviour to a certain degree by analysing the effects of previous actions and working autonomously and are seen as a central to digital transformation.

  Common forms of AI in use today range from digital personal assistants, music and video streaming recommendations, chatbots like virtual travel booking agents or for social media sentiment monitoring, through to more advanced AI solutions including cybersecurity, proactive healthcare management, automated financial investing, smart cars or smart homes, cities and infrastructure.

  Analysis from PWC reveals how big a game changer AI is likely to be, and how much value potential is up for grabs. 

  “AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption side effects.

  While some markets, sectors and individual businesses are more advanced than others, AI is still at a very early stage of development overall.”

  Key factors that will drive the economic impact of AI on business include:

  1. Productivity gains from automating business processes, from the use of process automation robots through to autonomous vehicles). This initial phase of AI application mainly centres on enhancing what’s already being done, rather than creating too much that’s new.
  2. Productivity gains from augmenting the labour force with AI technologies including (assisted and augmented intelligence. Automation of routine tasks & augmenting employees’ capabilities can free them up to focus on more stimulating and higher value-adding work.
  3. Increased consumer sentiment and demand resulting from availability of personalised and/or higher-quality AI-enhanced products and services.

  Almost all aspects of how we work and how we live – from retail to manufacturing to healthcare – have become increasingly digitised.

  If you operate in a sector that is gearing up for fast adoption of AI, you’ll need to use AI technology to capitalise and ensure your business doesn’t lose out to faster-moving and more cost-efficient competitors.

  No business will be immune from the impact of AI, so even if you’re in one of the sectors or economies where the disruptive potential is lower and adoption likely to be slower, AI will eventually be a factor.

  AI is set to be the key source of digital transformation, disruption and competitive advantage in a fast moving environment.

  Sectors with the biggest AI potential include:

  • Healthcare
  • Automotive
  • Financial services
  • Retail
  • Technology
  • Communications
  • Entertainment
  • Manufacturing
  • Energy
  • Transport and logistics

  To realise the potential for AI in your business, firstly work out what AI means for your business through a strategic evaluation of the technological developments and competitive pressures coming up within your sector, how quickly they will arrive, and how you will respond.

  It’s important to map the key process flows to be automated and decision flows to be augmented to help develop the cost-benefit analysis for automation or augmentation and develop the insights that help identify potential opportunities or risks.

  Identify the operational pain points that automation and other AI techniques could address, what disruptive opportunities are opened up by the AI that’s available now, and what’s coming up on the horizon. 

  Consider how different AI options can help you to deliver your business goals and your appetite and readiness for change to formulate your AI strategy.

  AI has the potential to disrupt any market through the creation of innovative new services and entirely new business models.

  Creativity, collaboration and informed decision making can empower organisations from automating or accelerating existing capabilities through to doing things that have never been done before.  

  AI will not remove all the issues, AI will not remove all the competitors, AI will not remove the need to be an effective communicator, and nor will it remove the need for good business practices.  AI will however make those practices easier and more effective, but you will still have to communicate to your teams, your suppliers and customers – and luckily, AI can help you do that as well.

  April 12, 2022

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  Baibi Australia

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  Insights

  Artificial Intelligence, Digital Transformation

• Digital Transformation – Accelerating Business Growth

  Accelerating digital transformation, the process of integrating digital technologies into all aspects of a business to meet the market and changing business requirements, with the aim to increase the effectiveness of business operations and customer relations, requires organisations to update their systems, processes, organisations and culture.

  Successful digital transformation can be achieved via company-wide alignment, design thinking and adoption of the leading edge technologies.

  Increasing competition means that digital transformation can provide powerful leverage for companies as they aim to stay relevant.  For example, the retail transformation, triggered by the rise of e-commerce, forced thousands of companies who failed to adapt to e-commerce as a retailer, out of business.  Past advancements, from personal computers, the internet, mobile technology, social media and through to recent advances in AI, are all such important technological innovations that have all caused slow adapters to fail previously.

  The steps to successful digital transformation (DX) require a well designed framework that will guide you through your DX journey.

  Each organisation is different, with different needs and has a slightly different set of transition targets and a crucial step towards organisational synergy is to determine the current level of digitisation and try to align that with long-term digital goals.

  Setting clear objectives and developing a feasible plan which selects areas for improvement and starting to integrate digital systems in a step-by-step process will help ensure a successful implementation.

  Enablers such as IoT, Analytics, Cloud, VR, and AI are a vital driver for a successful digital transformation. Organisations should undertake research to decide which enabler would be the best fit and leveraging open source technologies can be a major enabler for corporations.

  Establishing competent technology leadership, training staff and integrating a digital culture will help staff adapt to change easier and mean the business is better connected and responsive across departments so that employees return quickly to changing customers’ needs.

  Trending Technologies In Digital Transformation

  Digital transformation trends that businesses can leverage to ensure they are positioned for future success include:

  Robotic Process Automation

  Robotic Process Automation (RPA) allows business’ to automate a variety of repetitive back-office tasks to achieve improved operational efficiency including:

  • Data entry
  • Data extraction
  • Data updates
  • Data validation
  • Invoice processing
  • Payroll automation
  • Periodic report preparation

  According to Gartner, Robotic Process Automation (RPA) was the fastest-growing segment of the global enterprise software market. And as of 2021, the popularity of RPA has not declined and businesses are continuing to adopt RPA software to leverage the power of automation in various use cases.

  Cloud Technologies (Public, Private and Hybrid Cloud)

  As a result of the increasing volume of data, Software-as-a-Service (SaaS) and on-premise solutions on the cloud are getting more popular among businesses. Cloud solutions address the need for scalability so that there isn’t a need to transfer data between systems as the business grows and along with scalability benefits, cloud technologies can also provide compliance with privacy and security regulations.

  Edge Computing and IoT

  There are already a range of successful IoT use-cases, such as predictive maintenance or monitoring, however advances in edge computing and analytics are now enabling businesses to invest in IoT and edge analytics more. 

  Businesses should benefit from these two technologies when rapid changes and late responses to the change in the business environment can significantly harm productivity or conditions, where data should be collected, are not suitable for human measurement.

  Process Mining

  Companies can use process mining for faster and more accurate analysis of their processes.  Automation provides faster and lower-cost solutions. However, companies need to examine their processes to use automation tools efficiently. 

  Prioritising bottlenecks to resolve is valuable but has always been a struggle for businesses. 

  Process mining technology allows companies to mine processes to find those bottlenecks and boost process performance in areas such as identifying drivers that hurt monthly revenue, root causes of changes to orders leading to rework or discovering manual processes to automate.

  Task Mining

  Task mining technology monitors user interaction data by using technologies like screen capture anc can help businesses understand how tasks are being handled. By combining this technology with process mining, businesses can better understand their processes and take specific actions toward process improvement.

  Artificial Intelligence

  Artificial intelligence technology can empower most of the digital technologies listed above due to its capability to process data at scale. However, in the context of digital transformation, deploying AI mostly means deploying one of the following technologies:

  • Analytics: The process of collecting and analysing data to gain insights. AI is embedded in different tools in different industries. (Eg. Sales, Marketing, HR). The process of using AI that is embedded in different tools across industries including Sales, Marketing, HR etc, to analyse data and gain insights.
  • Conversational AI: The use of chatbots provide innovative AI driven solutions to improve customer service along with other benefits.
  • Autonomous Things (AuT): AuT are machines that function on specific tasks autonomously without human interaction thanks to AI algorithms such as computer vision. There are three types of Autonomous Things, Self-driving cars, Drones and Robotics.
  • Digital Twins: Digital twins are virtual replicas of physical entities such as devices, people, processes, or systems that help businesses make model-driven decisions. Manufacturing, healthcare, supply chain, construction and retail are main industries where we encounter digital twin applications.

  While some companies are still talking about digital transformation, a new transformation is already underway: AI transformation. With the rise of deep learning and most major tech companies claiming to be AI-first, it is clear that AI will further create major opportunities for business.

  Like digitization, AI has the potential to transform both back and front office capabilities, making it more efficient and effective. Companies should not pass the opportunity to embed AI into their decision-making systems as part of their digital transformation.

  Broad Value For Digital Transformation Across Industry

  Digital transformation will become critical for business success across a broad industry scope including:

  Healthcare

  Digital transformation in healthcare can lead to improved patient care resulting from digital technologies that assist doctors and while reducing operation costs.  MedTech and healthtech companies are technology providers and can enable digital transformation and serve digitally savvy companies. Increased digital transformation increases their addressable market.

  Pharmaceutical companies can use digital technologies that enable them to collect and share data for research purposes and facilitate personalised care.

  Retail

  Retailers could focus on three key aspects of digital transformation in:

  • Customer experience: A key factor for a business to differentiate from its competitors.
  • Enterprise agility: Launching Minimum Viable Products (MVPs) with quick decision making and iteration.
  • Operational cost reduction: With analytics, businesses can reduce their operational costs in areas such as supply chain.

  Financial Services

  Digital transformation offers banks automation opportunities and digital banking products that enable secure and frictionless customer journeys.  Financial services mostly deal with structured quantitative data which makes it easier to digitise and automate processes. 

  Banks can ramp up their digital transformation efforts and adopt technologies such as machine learning, automation and blockchain.

  Real Estate

  To remain competitive under increased competition, real estate companies could explore new structuring options, improve operational performance and optimise portfolios to get maximum ROI.  With the adoption of digital technologies, real estate players such as developers, brokers, agents, investors, or managers can utilise numerous applications such as virtual tours, automated transactions and personalised services where digital technologies enhance the home buying experience while improving operational efficiency in the real estate industry to meet evolving customer demands.

  Insurance

  New players, business models and demanding customers are forcing the insurance industry to adopt digital technologies.

  As competitors rapidly deploy new solutions, insurers need to leverage the latest in digital to have agility in their data management and other systems in order to remain competitive.

  The insurance industry can leverage digital transformation use cases in areas including automation, claims processing, claim fraud detection, risk reduction, omnichannel and smart contracts to improve customer experience and deliver a performance ROI.

  The Future of Digital Transformation for your Business

  At Baibi, we help to implement the mechanisms to integrate with your existing systems and use automation, AI and business intelligence data to discover these ever-valuable opportunities and use decision intelligence to drive value enhancement.  Baibi provides a way to connect, analyse and report on the data that your business has been missing.

  March 30, 2022

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  Baibi Australia

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  Insights

  Digital Transformation

• Low Code Development and the role of Citizen Developers

  The changing digital landscape has seen low-code citizen development gaining popularity in organisations looking to take a more inclusive approach to development to build new functionalities together that bring the business side into the development to create solutions that are precisely relevant to the unique business needs.

  Traditionally, new processes have been integrated into existing legacy systems by either building in-house or buying, deploying and operating with an off-the-shelf solution or packaged app, that limited opportunities for customisation.  With the in-house, code-based approach, it requires a longer development lead-time and new programmers to write code who may typically have very little in-depth knowledge of the business needs or processes.  

  The low-code digital revolution has presented an opportunity for businesses who have been searching for a middle ground – a software platform that is faster and less expensive to customise in-house that doesn’t require rooms full of programmers.  Replacing coding requirements with visual models allows a wider range of participation across all business units and can include operations experts, CX leaders and marketers to work collaboratively with the managed technology back-end, to design new and updated application processes that are more closely aligned with business needs.

  The benefits of the citizen development approach are driving its growth in popularity, with data from Gartner discovering is that citizen development is already a reality in many enterprises and results of a global study indicates that half of the respondents knew of active citizen development initiatives at their organisations, while for the group that did not have active initiatives, 13% are evaluating the idea with 4% of those planning to initiate citizen development within the next 12 months.

  Leveraging no-code software, empowering citizen developers and working collaboratively with IT resources can allow businesses to put the power in the hands of people that can make the difference and deliver enhanced, results-focused capabilities that deliver a rapid return on investment.

  Encouraging low-code citizen development initiatives can help democratise app development at scale and velocity while reducing pressure on IT resources to create new web and mobile apps and deliver a modernised technology infrastructure across the business.

  February 21, 2022

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  Baibi Australia

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  Insights

  Low Code Apps

• Global $187 Billion Low-Code Development Platform Market Growth To 2030

  Digital transformation amongst almost all industries will drive the low-code development platform market growth globally to $187 Billion by 2030 according to growth forecasts from ResearchAndMarkets.com, rising from $10.3 billion in 2019.

  As companies increasingly rely on digital solutions to reduce time and resource requirements to stay competitive in the market, the ability to make processes easier and develop improved solutions for customers, has resulted in the growing demand for low-code development platforms across the globe.

  Low-code app development allows developers with differing levels of experience, to create mobile and web applications using drag-and-drop components.  Low-code software makes it easier for non-technical and citizen developers as they do not have to write code and the infrastructure can be supported by professional developers.

  The demand for low-code development services is also projected to increase due to the rising need for integration, implementation and low-code consulting services with further demand growing due to an increased need for upgrading, technical expertise, maintenance and monitoring of low-code platforms.

  Many global industries already make use of low-code development platforms including banking, financial services, insurance, media, entertainment, retail, manufacturing, healthcare, energy, utilities and government to successfully develop web, mobile and third-party applications.

  Due to the early adoption of new technologies, increased disposable income, high IT spending, and technically inclined population in the region, North America has emerged as the largest low-code development platform market in the past, however demand for low-code platforms is also predicted to increase considerably in the Asia-Pacific region in the coming years, owing to the surging internet penetration, increasing utilisation of smartphones and rapid economic growth.

  Hence, the demand for low-code development platforms is growing due to digital transformation across the globe.

  The complete ResearchAndMarkets.com report, “Low-Code Development Platform Market Research Report: By Offering, Deployment Type, Enterprise, Vertical – Global Industry Analysis and Growth Forecast to 2030” can be downloaded here: https://www.researchandmarkets.com/reports/5184624/low-code-development-platform-market-research

  January 24, 2022

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  Baibi Australia

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  Insights

  Industry News, Low Code Apps

• How to Increase Loyalty Through Customer Value

  Customer service organisations are discovering how to increase loyalty through customer value by systematically enhancing experiences that drive tangible business outcomes using value enhancement tactics to drive customer loyalty and retention.

  While a low-effort service experience is still critical to customer retention, in today’s environment, the use of ‘value enhancement’ can increase the probability customers will increase their wallet share and spread positive word-of-mouth while driving overall loyalty.

  Service organisations looking to capitalise on customer interactions that impact loyalty through ‘value enhancement’ will ensure customers leave an interaction with more confidence in their purchase decision and better able to maximise their value of the product or service.

  Gartner research identified the impact of value enhancement activities on customer loyalty that showed some customers were more likely to advocate, renew and spend more after experiencing a value-enhanced service interaction.

  Further research shows customers who experience a low-effort service experience in resolving their issue are 61% more likely to stay with the company. On the other hand, a high-effort customer service experience drops that probability to only 37%.

  Yet 40% of customers will still leave a company, even if they get that high-quality service experience, so to avoid leaving that 40% on the table, customer service needs to focus on ‘value enhancement’ which impacts customer perceptions of the product or offering.

  Brent Adamson, distinguished vice president for the Gartner Customer Service & Support practice says “Most often, companies find ‘value enhancement’ activities fall under the customer success team…customer service can leverage these same types of activities in the service experience to help drive up customer loyalty.”

  Activities that drive “value enhancement” and demonstrate value to customers during service interactions can be done in many ways.  Gartner research has shown these 5 effective ways to drive value enhancement:

  1. Validate customer purchase decisions. Reassure the customer that their purchase decision was a smart one.
  2. Anticipate customer needs. Predict what features your customer may find valuable in the future based on their current needs.
  3. Help customers achieve a goal. Outline the product features a customer should use based on their goal for partnering with you.
  4. Educate customers on better uses. Rather than focusing on how customers have been using the product incorrectly, teach them how best to use it.
  5. Advise customers on new uses. Introduce the customer to newly introduced or untapped product features.

  Recent Gartner research also suggests that it is only about 15% of customer interactions that currently produce value enhancement, yet that there are many more which could.  The opportunity for value enhancement often depends on the reason for the initial contact, with inquiry calls offering the greatest chance to enhance the value the customer perceives, whereas complaint calls offer the lowest likelihood.

  Depending on the mix of calls, value enhancement could possibly occur in 35–50% of conversations.

  Notably, these activities can take place in both live and self-service channels. By operationalising value enhancement, service organisations can double or triple the frequency with which value enhancement occurs. To do this, businesses will need to predict the opportunities (identifying which customers are open to value enhancement, to what degree and when), matching customers to the best resources (e.g., specialised reps), and scaling delivery through automation. 

  At Baibi, we help to implement the mechanisms to integrate with your existing systems and use automation, AI and business intelligence data to discover these ever-valuable opportunities to drive value enhancement.  Baibi provides a way to connect, analyse and report on the data that your business has been missing.

  December 14, 2021

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  Baibi Australia

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  Insights

  Customer Service, Industry News

• Gartner Research Insights On Customer Service Beyond 2021

  Recent forecasts and research insights on customer service beyond 2021 delivered by market advisory firm, Gartner addressed the potential market shifts occurring between 2021 and 2025 across customer service organisations.

  Previous shifts toward enterprise-native mobile app experiences that occurred with the proliferation of smartphones and tablets are being abandoned by 80% of organisations as they shift the focus of their digital transformation toward messaging to deliver a better customer experience, according to Gartner.

  Despite heavy investment and promotion, many service organisations failed to see adequate customer adoption of their service apps and many are retiring their native mobile app experiences in favour of messaging.

  Philip Jenkins, senior director analyst in the Gartner Customer Service & Support practice said “Messaging channels such as SMS and third-party messaging apps like Facebook Messenger, WeChat and WhatsApp have been widely embraced in the global market, making them ideal for service organisations,” said Philip Jenkins, senior director analyst in the Gartner Customer Service & Support practice.

  “By transitioning to messaging platforms, customer service and support leaders will reduce dependency on native mobile app experiences, reduce cost, increase digital and self-service effectiveness, and achieve a persistent experience for customer engagement.”

  Gartner also offered other customer service and support predictions for 2021 and beyond, which forecast:

  40% of customer service organisations become de facto leaders in digital customer engagement resulting in them becoming a profit centre by 2025.  

  Customer service will evolve from a cost centre into a profit centre by having greater responsibility for the customer relationship and journey. In a profitability scenario, the customer service function is likely to drive new business outcomes supported by new objectives, metrics and organisational structures.

  10% of customer service organisations revamping hierarchical staffing models to create huddle groups by 2025.

  In increasingly complex product and organisational environments, customer service leaders are finding that they need access to a broader set of skills than ever before. Gartner recommends that customer service leaders collaborate with cross-functional leaders to create huddle groups focused on customer groups — for example, by industry, product class or subscription type — as opposed to internal functions.

  Proactive customer engagement interactions outnumbering reactive customer engagement interactions by 2025.

  Reactive, rather than proactive customer engagement has resulted in high-customer-effort experiences limiting the effectiveness and profitability of self-service.

  “An initiative to reach out to customers proactively creates a major opportunity for customer service organisations, said Brian Manusama, senior director analyst in the Gartner Customer Service & Support practice. “Along with the cost optimization benefits of reducing call volumes and increasing engagement with self-service channels, customers feel a greater sense of appreciation toward the provider and its service organisation.”

  Learn more about these forecasts in the Gartner report on CRM Customer Service and Support here: https://www.gartner.com/en/newsroom/press-releases/2021-01-12-gartner-predicts-80–of-customer-service-organization

  November 5, 2021

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  Baibi Australia

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  Insights

  Customer Service, Industry News

• Enterprise Low-Code App Development

  Enterprise developers looking to create valuable micro-solutions faster, while driving value to the broader business objectives, can benefit from from low-code app development to rapidly solve business problems while also reducing the bottleneck that is created in many enterprise development teams that struggle to find resources for smaller, custom development projects, when they are committed to long-term project roadmaps.

  Low-code concepts and practices present a way to free developer teams to focus on larger and more complex projects and solve business problems by allowing users to use a visual and automated approach to software development which allows them to define desired tasks at a hight level and then relies on back-end tools to generate most of the underlying code.

  Low-Code vs Traditional Software

  Traditional software development requires programmers to write individual lines of code which are subsequently organised into functional modules and routines that provide the features and functionality.

  To be a broad and effective code-driven software developer requires a wide range of knowledge of concepts across the entire software development spectrum including software development languages, development environments, compilers, deployment and testing tools, along with the various practices and policies used to handle coding, testing and deployment.

  Low-code platforms, in comparison, usually allow users to select from a range of reusable functionality components using a drag-and-drop visual interface with much of the programming needed to create the software encapsulate in the back end.

  By providing access to a low-code visual interface supported by permission-based back-end data access, users can easily add, move or delete functional components in order to develop the process flow.  Low-code application platforms also support testing and deployment and can enable enterprises to deliver a range of micro-solutions faster and at a lower cost.

  Low-Code vs No-Code

  No-Code platforms aim to provide a range of pre-determined features and functionality that eliminate the need for users to modify components and often provide simple point-and-click interfaces to select data, connections or layout and means that users need no knowledge of application programming or design.

  No-Code application development platforms are usually considered to be the more user-friendly, easy-to-use subset of low-code solutions which still require some basic programming knowledge to either modify existing functional components or to create new custom functions.

  Low-code solutions can simplify and accelerate many everyday business programming tasks; however low-code is not intended to eliminate all coding. 

  Low-Code App Development

  While low-code makes it easy to experiment with new or different features and functions, it can still be valuable to have a project plan and roadmap to keep low-code development on-track.

  Although low-code development processes contain a high degree of automation, they are not automatic and do not do all the work for you.

  It is important to rigorously evaluate, select and use a suitable low-code platform for your enterprise. The time invested to learn a low-code platform features and capabilities will deliver a return on investment in future projects.

  Benefits of Low-Code Development

  Low-code development can offer a range of benefits to the enterprise, including:

  • Wider staff availability
  • Caters to niche projects
  • Improved efficiency
  • Lower-cost innovation
  • Accelerated development speed

  Low-Code Use Case Examples

  There are a wide range of low-code tools and platforms available, and the market continues to evolve. 

  If the technology and business use case align the business goals with enterprise requirements then there are a range of common low-code applications that could be implemented within the enterprise including:

  • Business systems
  • Business processes
  • Micro-service apps
  • iOT-based apps
  • Web portals
  • Mobile apps

  Businesses can choose from various cloud-native and third-party low-code platforms for uses that range from simple websites and mobile apps to enterprise-class application development.

  Businesses should evaluate the specific capabilities of the low-code platform before commencing to ensure that packaged models, functionality and components align with the project objectives with a minimal amount of customisation required.

  Enterprise low-code app development, if implemented as a solution to solve appropriate use-cases, has the potential to deliver a rapid return on investment.

  October 2, 2021

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  Baibi Australia

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  Insights

  Low Code Apps

• Gartner Forecast Low-Code App Market Growth In 2021

  The worldwide low-code app market growth, as forecast previously by market research and advisory firm Gartner, has been predicted to rise to a projected total of $13.8 billion in 2021, an increase of 22.6% from 2020.

  The surge in remote development boosted the adoption of low-code development technologies during 2020, with low-code application platforms expected to remain the largest component of the low-code development technology market through 2022, increasing nearly 30% from 2020 to reach $5.8 billion in 2021.

  Research vice president at Gartner, Fabrizio Biscotti said that “While low-code application development is not new, a confluence of digital disruptions, hyper-automation and the rise of composable business has led to an influx of tools and rising demand”.

  The increase in demand for custom software solutions that support this rapid digital transformation, is putting additional pressure on IT leaders to dramatically increase application delivery speed and Time to Value which has influenced the rise in low-code through its availability to employees outside of IT.

  Gartner predicts that half of all new low-code clients will come from business buyers that are outside the IT organisation by year-end 2025, where 41% of employees outside of IT are currently involved in the development of low-code solutions.

  Fabrizio Biscotti from Gartner also said that “in the longer term, as companies embrace the tenets of a composable enterprise, they will turn to low-code technologies that support application innovation and integration”, and went on to offer further insights into the low-code app market, saying “Globally, most large organisations will have adopted multiple low-code tools in some form by year-end 2021.”

  Business technologists want to create and execute their own ideas to drive more automation across their business applications and workflows. The needs of business-driven hyper-automation will be one of the top three drivers for low-code adoption through 2022.

  Learn more about these forecasts in the Gartner report on Low-Code Development Technologies here: https://www.gartner.com/en/newsroom/press-releases/2021-02-15-gartner-forecasts-worldwide-low-code-development-technologies-market-to-grow-23-percent-in-2021

  September 15, 2021

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  Baibi Australia

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  Industry News, Low Code Apps