It is obvious that 4th Industrial Revolution has brought more impact that even global enterprises would not expect. If you are confused by several different buzz words such as digitalization, industry 4.0, big data, digital transformation or even more technical terms like machine learning, data mining etc, please note that you are not alone, sharing the same dilemma with counterparts from even many other industries. Therefore, most executives and business sponsors suffer from “digital & bigdata inertia” despite they are eager to take some actions, but they do not know where to start. They all face this digital dilemma.

(each door will lead to intersection corner)

(each door will lead to intersection corner)

This is exactly where Infolitik comes into picture for not help, guidance! Ultimate help will be defined by your actions as we will be only your company guide. Having more than twenty years information technology deeply working application, processes, data and integration; Infolitik is pleased to offer value added consultancy services dedicated to resolve this dilemma within technology free environment.

This journey is a program not a snapshot project !

First of all lets agree on with one generic term of “Journey” for until we define together your dilemma’s priority concepts. Fourth industry revolution is moving from hype to reality with confusing wording. Especially industrial and manufacturing organizations understand that it’s happening now.

(Readiness & Maturity Assessment Services)

Digital transformation is a complex challenge. Enterprises that have reached the highest levels of digital maturity have addressed cultural, organizational, technical, and insights challenges.
As leaders who would like to be digital leader must respond to the clear and present threat of digital disruption by transforming their firms. Final aim must be embedded digital capabilities
into the heart of their business, making digital a core competency, not a bolt-on. However, everything should be starting with understanding of your status whether or not you are ready .

Infolitik is pleased to cooperate with you shoulder to shoulder in order to built maturity model to help companies to assess their overall digital and/or big data readiness. Enterprises should not ignore the fact that everything starts with awareness. Infolitik assists you to increase your company’s awareness. Moreover, we can work together to create your business cases prior to any investment.

Are you confident enough about your processes?

Despite there are hundreds of questions before talking about process mining, we just assume that you have already defined and executed your processes especially if you are in manufacturing However;

  • Are you sure about their efficiency?
  • Dou need to reconsider them?
  • You are sure whether they were at the most optimum level or not?
  • Or you need to simplify the process but where to start?
  • and many more questions you have in your mind?

If we are talking about all confusing big data terminologies we discussed above, we should definitely get your attention to your processes and their mining with discovery.

Process mining is on the interface between process model analysis and data-oriented analysis and can be used to answer a variety of performance and compliance-related questions.

Process mining emerged as a new scientific discipline on the interface between process models and event data. The practical relevance of process mining is increasing as more and more event data become available (cf. the recent attention for “Big Data”). Process mining techniques aim to discover, monitor and improve real processes by extracting knowledge from event logs.

The two most prominent process mining tasks are: (i) process discovery: learning a process model from example behavior recorded in an event log, and (ii) conformance checking: diagnosing and quantifying discrepancies between observed behavior and modeled behavior.

In short, Infolitik is capable of offering you process mining-discovery workshops during maturity assessment study in order to provide you valuable insight about bottlenecks, areas to be improved /digitalized or analyzing them to obtain the most optimized way to define next steps.

The reason we bring process mining topic here is that most of big data or digital cases end with several issues about processes under different issues;

  • processes that are not tracked or logged
  • unmonitored processes
  • processed that constantly needs to be enhanced
  • manual process that should be digitalized
  • high volume of process data that needs to be gathered in datawarehouse
  • lack proactive process warning for prescriptive maintenance, monitoring or actions
  • many more cases….

We are always aware of business priorities

We all know that we are in limited time, priorities and budget while we need to create our enterprises’ digital roadmap benefiting from data we have. Infolitik and its partner members are experience enough to provide the best actions in terms of fastest ROI and lowest TCO. Most of the times, Infolitik advices to think big picture but act in baby steps.

(tangible results must be focused)

Conceptual Training for Big Data and Digitalization World

There is no doubt that operational executives are good at their jobs. On the other hand, rapidly changing and emerging technology and even next generation applications are also very important to know, understand and act accordingly for sustainable profitable business. Executives, middle line managers or even analyst, research engineers often have hard time to catch up such rapidly changing technology world to align with their jobs. Please note that we are not talking about any concrete projects, implementations we only talk about high-level conceptual understanding for dynamics of big data and next generation digital world. Having such trainings, you will be able to envision your own dreams for projects based on your industry, roles or needs. Moreover, you will not need to know every technical details as long as you are capable of managing risk and understanding opportunities. This is what we aim with this training. Our very experienced trainer Is also ready to be your digital mentor cooperating with you. It is always up to you whether you initiate any project or not.

This training surely has some agenda, but it is always customizable after listening your needs, trainee profiles, expectations. Our trainer provides this training in very enjoyable fun way to business level people C to make them understand better without get bored. Some example of questions that our agende items may cover during training;

  • What the heck is this big data?
  • Why people/vendors use different terminologies?
  • Am I late for big data?
  • Digital transformation and big data are the same?
  • What are the technological facts for big data?
  • Typical big data project components?
  • Can you give me some Big Data analytics and visualization examples?
  • What software I should consider for Big Data projects?
  • Machine Learning, Artificial Intelligence, deep learning mean big data?
  • How to simplify similar projects?
  • Do I need to do 5 zero investments?
  • I am SMB, can I benefit from big data?
  • Etc.

What you can get from Infolitik’s assessment consultancy

Infolitik is happy to provide you customized assessment to measure an organization’s digital, big data maturity and capabilities and to examine how they drive performance. Areas that we may touch for you in tailor-made approach;

  • Strategy Definition
  • Training
  • Organizational & Talent
  • Culture
  • Capabilities
  • Process Discovery & Mining workshops
  • Data Analysis & Analytics Workshops
  • Internet of Things Requirements &
  • Big Data Use-Cases
  • Smart Supply Chain Management
  • Smart Inventory Optimization
  • Pilot Projects

Let’s have friendly talk in technology

The rapid evolution of 4th generation of Industry, however, is already pointing to two critical elements that will be drivers of differentiation, adoption, and acceleration: data and integration.

Those organizations that can harness the power of data and integration most rapidly and effectively to power their Industry 4.0 efforts will win — and the keys to harnessing that power will be APIs and microservices.

Fourth industrial revolution – from Industry buzz wording to reality

The strategic drivers behind the journey of Industrial revolution should be as clear as company strategy. Organizations must break down the barriers that separate their;

  • operational technology (OT)
  • information technology (IT)

silos, creating an integrated data platform. They need to enable;

  • business-to-business,
  • machine-to-machine and
  • person-to-machine interactions — in real time.

and they need to create an environment in which data flows freely among all aspects of their business. The advantages to such organizations that can successfully implement fourth generation of Industry are just as clear. They will realize distinct advantages in increasingly competitive markets that pressure them to simultaneously drive down costs and “increase speed-to-market” as well as “360 customer view “

Progressive organizations understand that they can only meet these competing demands by leveraging highly integrated data throughout their supply chain and operating model to increase quality, improve responsiveness, grow production capacity and improve operating efficiency.

The Future is Data

While data has always been an instrumental part of the industrial story, with the rise of digitalization or fourth generation of industrial revolution, data has now become the primary strategic driver of success. The right data, at the right time and place, enables organizations to rapidly adapt workflows, reduce disruptions, and increase operating profits.

But achieving these outcomes demands more than just data collection — it demands that organizations integrate data throughout the industrial business architecture. When data flows freely between shop-floor-focused OT(operational technology) and business-focused IT, organizations can use that data to uncover critical insights and enable better, more rapid decision making. You can always create “MindSphere” like many global vendors, an open platform for connecting IoT devices. It allows organizations to analyze data to perform predictive maintenance, feed failure data into the ERP system to automate spare part ordering. Eventually, it may feed analyzed data to engineering systems to improve future product development.
In certain circumstances, organizations can monetize the data itself or use it to power entirely new revenue streams and business models. For example, it is not a dream that using very special customized Industrial Internet Platform to reshape your business models. Leveraging such edge-to-cloud deployment model, you may now be deriving your products/services revenues not only from sales transactions, but also from product based performance in the form of less downtime and increased product-life cycle, resulting in significant revenue increases.

Realizing these possibilities, however, requires complex and seamless integrations among OT and IT systems — a task that is proving far more difficult than it sounds as manufacturing environments continue to grow in complexity.

The Messy Integration of Operational & Information Technology

The need to integrate data between and among OT and IT systems is clear, but challenging. While there have been recent efforts to improve OT interoperability, they have largely remained in their silos, as depicted in the figure below. This lack of integration remains a major issue when trying to solve the OT/IT integration puzzle.

At the same time, traditional IT technologies are also evolving at an increasingly rapid rate, creating a vast wilderness of technologies and platforms. The net result when trying to integrate these two worlds: ever-increasing complexity.

Organizations that create a flexible, dynamic, software-driven integration strategy will realize benefits across the breadth of their organization. They will be able to overcome the OT interoperability challenges and be able to rapidly navigate the maze of emerging IT platforms and targeted solutions. 

More importantly, however, such a strategy will lay the foundation for organizations to achieve the real objective of integration: the ability to rapidly seize emerging opportunities by leveraging data across their OT/IT landscape to create competitive advantage.

It’s a Software-Defined Industrial World

A software-driven, cloud-based integration strategy becomes critical as organizations begin to reach full velocity with Industry 4.0 efforts. As they do, they quickly realize that anything ‘hardwired’ becomes a liability that limits business agility.

Organizations find that with their often limited shelf-life, it is not the integrations themselves that create competitive advantage. Instead, it is the ability to rapidly create new integrations that generate sustainable advantage for an organization by enabling it to respond and react to new and unanticipated needs.

Using a software-centric approach to integration is the only way to realize this type of agility and adaptability. But a software-driven integration platform is also not enough on its own.

As organizations increasingly rely on cloud-based solutions for a broad range of their technology needs, particularly within the IT domain, a cloud-based integration platform becomes imperative to ensure the dynamic and seamless integration across the entire OT/IT landscape.

In most cases, this will also involve the adoption of so-called Fog Computing, in which a significant amount of the storage, processing and analysis of data occurs at the edge, with only a subset of the resulting data being delivered to the cloud.

The Agility, Benefit of Cloud-Based Integration

A software-centric, cloud-based integration platform provides two primary benefits to organizations: speed and flexibility. Because it avoids many of the connection issues of on-premises solutions, a cloud-based integration platform enables organizations to rapidly connect disparate systems across environments. This built-in interconnectivity is why cloud-based integration implementations often take only days or weeks instead of months or years to complete.

Moreover, the inherent flexibility that cloud-based, software-driven integration platforms offer provide organizations with an even greater advantage: the ability to experiment and explore new uses of its data. For example, as more OT devices deliver data to a gateway, organizations can begin to explore new ways in which they can use that data without worrying about integration limitations.

This flexibility also allows them to explore integrations from the other perspective. Starting with the assumption that they can connect any IT system, such as ERP, to any OT system, what outcomes, efficiencies or new revenue models might they be able to uncover?

The speed and flexibility of a software-driven, cloud-based integration platform creates a flexible foundation the enables an organization to leverage their data in new and unanticipated ways. But it also sets the foundation for organizations to go even further.

Finding Competitive Advantage: The Data Ecosystem

Some people see Industry 4.0 as a movement to create the ‘Smart Factory’. But as we’ve explored in text, it’s really about creating competitive advantage through the data that the Smart Factory generates

While the instrumentation of the shop floor and the integration of the resulting data to business systems is the foundation of the Industry 4.0 movement, those two activities, on their own, do not drive sustainable advantage.

The key to creating sustainable competitive advantage, instead, is in the creation of proprietary data. To create defensible, proprietary data, organizations must use a software-driven, integration platform to build a data ecosystem — a network of connections and pre-built integrations that enable the organization to combine and extend their raw data assets and then consume the resulting data in creative ways.

Regardless of how organizations transform their data, the path to advantage will be to leverage the integration platform to connect data and create proprietary insights. Organizations may use the resulting insights to improve workflow efficiency, to increase optimization, to develop new revenue sources or even create entirely new business models.

Accelerating the Adoption and Promise of Industry 4.0

A software-centric, cloud-based integration platform provides two primary benefits to organizations: speed and flexibility. Because it avoids many of the connection issues of on-premises solutions, a cloud-based integration platform enables organizations to rapidly connect disparate systems across environments. This built-in interconnectivity is why cloud-based integration implementations often take only days or weeks instead of months or years to complete.

This has already shown up and inevitably waiting for readiness as we’re at the beginning of this journey.

Which organizations come out on top and which lag behind is up for grabs. The winners will be those that can help their customers achieve competitive advantage by accelerating its adoption — and then sustaining it.

In disrupted industry after disrupted industry, it has been made clear that standing still or taking only incremental steps is not sufficient. Thriving in a time of disruption demands bold steps forward. But it takes more than just a singular innovation, unique application of technology or creative use of data to create a sustainable and defensible competitive advantage.

Those organizations that thrive in disruption are those that create ecosystems and integration platforms that deliver sustainable agility, flexibility, and scalability so they can adapt to unforeseen changes and opportunities in the market.

Infolitik is read to be your big data or digital buddy in such a long journey. Call us and lets have coffee together..