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One of the key milestones on the Digital Journey starting with a Digital Strategy, Digital Transformation and then sustaining on Digital Innovation is the point where the enterprise reaches a point of data maturity powered by a single, organization wide, consistent version of the truth including the state of the customers and the state of the business and the state of the employees. This point is critical as it becomes the launchpad for several, forward looking initiatives including Artificial Intelligence, ChatBots, Blockchain etc. "Complete" A Complete version of the truth ensures that the following criteria is met: Entity Pivot The key entities that need to be tracked to generate a complete, comprehensive version of the truth are the following Employee Employees, regardless of customer facing or not, need to be understood including where they excel vs. struggle and where their struggle impact the customer experience. Key information about employees that should be tracked is what the employees are working on, how productive they are and how often they introduce delay and errors in business processes. Business Business visibility requires that the enterprise be able to track key metrics such as customer lifetime value, customer attribution, customer acquisition cost and customer satisfaction. In addition, the stage of the customer ranging from prospect to commit to paying customer to abandoned needs to be tracked. In addition, the customer's quality of service and experience needs to be tracked and understood. Customer The most critical of the three is the understanding of the customer. Customer KPIs have a direct impact on and are completely impacted by the Business and Employee KPIs. It is extremely important to understand how customers are searching for, discovering, learning, understanding, using and continuing to use the product and services delivered by the enterprise. In addition, it is important to understand what capabilities drive what kin

VPN, i.e., Virtual Private Network, establishes a secure connection to public and private networks over the Internet. VPN helps to protect your identity and provides a secure network for accessing data. Initially, the VPN connects business networks securely over the Internet. It also allows you to access a business network from home. What is a VPN? How does it work? Why should you use it? These are some common questions that come in the mind of every person who wants to use a VPN. So, let's find out the answer to all these questions. Contents [show] How Does a VPN Work? How Does a VPN Work It is not rocket science to understand how a VPN works. We can simply learn the process of VPN by reading the following steps. Step 1: At first, you need a reliable VPN provider (ExpressVPN Recommended). Then download and install the software. Now select the preferred security settings and set up a safe connection with your desired VPN server. Step 2: After the connection is established; VPN software encrypts your data traffic on your computer and sends it to the VPN server through a secure connection. Step 3: The VPN server decrypts the encrypted data from your computer. Step 4: Your data is being sent on the Internet by the VPN server and receive a reply, which is meant for you. Step 5: This traffic is again encrypted by VPN-server and is sent back to you. Step 6: VPN software will decrypt the data on your device so you can understand and use it. Why ExpressVPN is the Best? The best thing I like about ExpressVPN is that it has a no-logging policy. Apart, from this ExpressVPN is fast, secure, and keeps your IP hidden. ExpressVPN allows you Torrenting/P2P and even works with Tor for the maximum level of privacy. It has a user-friendly interface and a great design that is easy to operate. ExpressVPN uses the government-grade encryption method as default. You can even try doing it manually. ExpressVPN is the best excellent premium VPN service to trust and work.

Enterprises have to constantly decide, at every step in their digital journey, should they build or buy. This question often is posed as a critical, do or die decision and the answer varies on a case by case basis. Building can be expensive, take longer but offers future proofing and more dependability whereas buying offers a faster time to market, less risk and accountability forced through contractual terms. However, a key point often overlooked is the cost of integration. Integration can be required at multiple levels. Vendor Applications Vendor applications typically require a two-way connection between the enterprise systems and the vendor application. The application requires incoming data and information from somewhere in the enterprise technology stack and an output stream of information back into the enterprise at one or more points in the stack or workflow. Vendor Platforms Vendor provided platforms typically have similar integration requirements as Vendor applications requiring an incoming data & information connection and an outgoing information connection into the enterprise process, workflow, platform or product. Application-To-Application Application to Application integrations where an application needs to be connected to another application to either provide data or signals to enable the downstream application to create value can be seemingly deceptive. Application-To-Application integration costs can grow at O(n^2) as potentially, worst case, each application could be connected with every other application. Enterprise Stack Fragmentation The problem of integration is exacerbated by the fragmentation of the enterprise at the organization level. This problem is also known as "Shadow IT" is driven by superficially differing needs of multiple lines of businesses in an enterprise. Shadow IT typically leads to multiple instances of similar technology stacks that cause data, compute and information to be silo'd. Stack fragmentation and its

The quality or the lack thereof can be a huge contributing factor to a fractured and sluggish digital journey where ROI is hard to achieve and results come in short supply. The quality of data has a direct impact on the ability of the enterprise to be aware of relevant events, its reaction time, the decision time and its action time. A clear and concerted effort is required to measure and improve the data quality to drive better decisions and actions. Common Quality Issues The following are the most common quality issues Comprehensiveness Comprehensiveness quality issues refer to key attributes or data points missing from the data collected by the enterprise. This can occur when the data producing systems or the data delivery networks have glitches or malfunction or are incorrectly configured to miss entire rows of data or attributes of the data. Integrity Integrity quality issues refer to the corruption of the values of key attributes to contain unidentifiable or unreadable data. When key attributes are empty or null when they are by design, not allowed to be empty/null or when an attribute contains a value that does not meet the specifications of the type of the attribute for example, a string column contains an integer or a timestamp column contains a string not parse-able into a timestamp. Integrity of data is important before data can be included in the data set to drive analysis, decisions and actions. Sampling Sampling quality issues refer to the inclusion or exclusion of a certain percentage of the records in a data set with the assumption that the remainder records are good, representative sample of the original data set. Bad or inaccurate sampling can lead to a distorted view of reality and that can lead to bad decisions. In addition, sampling itself can make the data set inappropriate for certain types of analysis that require the entire dat set to be utilized for training. Filtering An upstream filtering scheme can end up removing too many or

Improving Hazard Communication in the Workplace Hazard CommunicationIf you're looking for ways to improve the overall safety of your facility, one of the best places to start is with an evaluation of your current hazard communication standards. According to OSHA, hazard communication violations are the second most commonly cited violations, as of 2012. In 2012 there were 4696 citations given in this one area alone. Sadly, very little has been done to change this problem over the past several years. Understanding how your facility communicates any type of hazard, and working on ways that can be improved, is an important part of keeping everyone safe. One of the best places to start is to review the OSHA regulation on this topic, which is titled, "Hazard Communication - 1910.1200." This will give you all the requirements that you will need to follow in order to keep people safe, and avoid any citations. Key Points in Section 1910.1200 After reviewing the entire section on this topic, you will want to go back and really focus on a few key points. These are some of the areas where most of the citations were given out, and also where some of the biggest risks exist. The following key points will be great places to start when it comes to improving the way your facility handles hazard communication: 1910.1200 (b)(2) - This is the section that covers how you need to communicate hazards that apply to any chemical that exists in a way that employees could become exposed to it. This applies to both normal exposure, and exposure during a foreseeable emergency. 1910.1200(b)(3)(i) - In this section, it details the requirements a facility has concerning the labeling of chemicals that come into the facility. Specifically stating that the labels may not be removed or defaced. 1910.1200(b)(4)(iii) - This area explains in detail that employers need to provide employees with sufficient training on how to react to a potential chemical spill. This includes how to

One of the biggest hurdles to Digital Transformation and Digital Innovation is the organization's inertia and tendency to optimize for self-preservation. Self-preservation can exist in the enterprise at the individual, team, divisional or the organizational level and can have a devastating impact on the organization's ability to innovate and grow. Self-preservation is not a new phenomenon however, it is more deadly for an enterprise now than ever. This is because the speed of technology change has increased geometrically. In the past, self-preservation would automatically get corrected as the technology was generally learned and adopted slowly with enough time for the enterprise to become aware of the change and implement it. However, the rate of technology change has magnified tremendously and the enterprises no longer have the luxury to take their time with the change. Inaction risks getting left behind and other competitors who leverage and change faster stand to capture the largest market shares and customer mind share. Self preservation is the tendency of the enterprise to ignore, undermine or postpone the adoption and integration of new technology in the enterprise to avoid a change in the status quo across technology, products, services and most importantly, day to day operations and organizational structure. Self-preservation can lead to what is termed as "politics" in an org, it can stifle innovation and innovative individuals & teams and it can favor business driver stagnation over risk taking. 5 Signs of Self-Preservation The following are signs of self-preservation Highlighting the Journey of Innovation as Failure Adversarial teams and individuals within an enterprise who are interested in self-preservation often go out of their way to highlight the tough, risky journey of true innovation as a failure citing the cost and the time being taken to address the real problems in a truly innovative manner. While the individuals and teams trying to

For many enterprises, transforming into a digital organization is a very big priority. Digitization is more than a passing fad; instead it almost is a precursor to survival in the next decade. Analog mechanisms of running businesses are no longer sustainable nor likely to give confidence to customers, employees, stakeholders and shareholders. Measuring Digital A digital organization is characterized by the following Time to Customer Insight The Time to Customer Insight in a digital organization is the time it takes to collect, process, analyze information to determine the health of a customer, their satisfaction with current products and services, their unmet, possibly unstated needs and the impact that external market events might have on the customer. Time to Reaction Time to Reaction is the time taken to react to a customer insight through the introduction of a new product/service to solve an existing or a new problem or through better packaging of existing solutions to address otherwise existing problems. Time to Market Time to Market is the time taken to bring a new capability, product or service to market often as reaction to a customer or market insight or feedback Time to Iteration Time to Iteration is the time taken to solicit, gather, process, analyze customer feedback and effect a change in existing products or services or bring new products and services to market to address the customer feedback. Digital Organizations Digital organizations are characterized with minimal Time to Customer Insight, Time to Reaction, Time to Market, Time to Iteration and a constant effort and investment into further optimizing and minimizing these metrics. Digital organizations focus on the flow of information through the organization and use of the information to generate and deliver more value for the customers. Key Characteristics of Digital Organizations Instrumentation of Interfaces, Products, Systems, Applications, Processes A digital organization ensures

Key considerations before implementing DevOps in your organization

Are you AI-First? By editor Posted October 13, 2018 In Artificial Intelligence, Digital Strategy, Technology & Design 0 An AI-First company is an enterprise that has transformed to believe and understand the incredible and disruptive potential of Artificial Intelligence. Such an enterprise not only sees the value but can see the destructive impact of being left behind. An AI-First Company understands that it might not know all the answers but realizes that it needs to seek out a path forward with AI or risk being marginalized. Key Characteristics of an AI-First Company A-First companies might not be any different from their previous form but think and act differently. Here are some key characteristics of such companies. Approach to Problems and Planning An AI-First company evolves its approach to problems. AI-First companies realize that determining the existence of a problem and selecting the most consequential problems is a function of data and analytics. An AI-First company invests in building predictive mechanisms that can signal current or upcoming problems including the severity and priority of these problems. Building these predictive mechanisms becomes the first step in determining how and when to prepare for problems or upcoming issues. In addition, these companies leverage news and information that is generated inside and outside the enterprise as it is generated and ensure that their employees and customers have access to the insights embedded in the news and information. Approach to Products and Product Development An AI-First company understands how a prediction or classification could help them deliver a better solution to a problem faced by their customers and how their existing products can be adapted or new products created that change behavior based on the predictions and classifications. Enterprises that understand the power of AI ensure that data scientists come part of the core product ideation and development team with a heavy infl

Technology Congestion is a not a recent phenomenon but the urgency around Digital Innovation and Digital Transformation has brought it front and center. Technology Congestion is a point in the Digital Journey where multiple technology initiatives, executed in parallel become entangled with each in a state where none of the initiatives, hampered by inter dependencies, prioritization, and cost, is able to complete, make progress and deliver business value. Modern Experiences Require Multiple Technologies Building a consumer driven, customer centric experience that truly delights and moves business KPIs requires several technologies to come together in almost a magical experience. This means that not on boarding and deploying multiple technologies is not an option or possibility. Enterprises have to build competencies in multiple technologies (and they have multiple strategic options to do so) and this can be a daunting task. Managing Technology Dependencies Often, an app-centric methodology requires a complete focus on the user and customer's experience. Delivering that experience can requires technologies that leverage each other or are inter-dependent on each other. Inter-dependencies can be sequential i.e. Technology A is required to be installed and operational before Technology B can be initialized. Inter-dependencies can also be matrixed i.e. a service X might require service Y to be complete and Service Y requires Technology B. Inter-dependencies can also be circular where System M feeds information into System N and System N, in turn, provides feedback to enable System M to iterate and improve. Innovation To A Screeching Halt Technology congestion can stall innovation. Sorting out dependencies can delay innovation and new product development and cause the enterprise to become anti-app-centric. The net impact is lost time and energy in technology installation and deployment with less than ideal focus and attention on customer value and user experience.

Lean systems are meant for producing the best products and services with little or no wastage of various kinds of resources. Lean supply chain management purports to create a well designed supply chain management system where all the resources are effectively utilized. The people, processes, technologies and suppliers will be optimized at the beginning of the implementation and it will be an ongoing process. The best of the best features will be implemented and there will be no room for waste. Lean supply chain helps companies deliver high quality products quickly and efficiently. What is expected from lean supply chain management? In fact, lean supply chain management is a new way of thinking to understand the supplier networks. It is required to have cooperation with various suppliers and should be able to balance it with the competition present in the market. There is a great deviation between lean supply chain management and traditional methods. There will be less number of structures in lean model whereas they are more in traditional systems. Most of the lean supply chain management principles are derived from the basic lean principles. How companies will be benefited by the lean implementation? By implementing lean methods in a systematic way, companies will be benefited to the greatest possible extent. The winning business strategy realizes the importance of the relation between the supply chain management and the overall financial status of the company. By streamlining the supply chain management with all the other core aspects of the company, the business will emerge into a profitable enterprise and will be able to deliver cutting edge solutions. Strategy for lean supply chain management In order to implement the lean supply chain management in an effective manner, it is required to build the core infrastructure and should be collaborated internally and should be executed externally as well. The next step would be the selection of the right kind of

Tips & Tricks for Efficiently Tracking Lean Projects Recently, we wrote about a couple of problems facing many Lean practitioners. These were problems that hindered their learning process and often caused overconfidence. Amongst the advice to help combat these problems arose the need for detailed tracking and note taking with regards to practice and progress. Being able to accurately track not only the effects but also the process of a Lean project is critical to ongoing success, and is a key to stimulating growth amongst not only the receiving end of your project objectives, but also amongst the employees and Lean practitioners themselves. To start off, let's take a look at the current state of Lean project tracking for many Lean practitioners. A recent LinkedIn discussion posed the very question of project tracking, and sought to understand a few different distinct metrics. In addition to measuring the effectiveness of any program when it comes to completion, tracking can also be about measuring the scope of your projects, so that you can accurately project what the effects will be before you actually reach the stage at which you expect them. Part of this "scope" involves tracking exactly who is involved with your project, who is affected, and how they are progressing in their respective tasks. Where we are now First of all, it's important to evaluate the current methods that are prevalent in Lean record keeping. The LinkedIn discussion starter, self-identified as Ian R., mentions in his opening post that, when he last posed the question about a year ago, the consensus was that most practitioners were simply using excel spreadsheets for their tracking needs. While there's nothing wrong with relying on Excel for the basics, other users were quick to offer up some slicker alternatives, signaling a sharp (and welcomed, in our book) departure from some of the more basic methods. Unsurprisingly, there exist several specialist software applications whose n

Many businesses need and even require the use of safety signs to warn employees and customers of potentially hazardous areas. However, the task of finding the right signs to portray the right message, along with finding a reputable company to provide the signs may be more difficult than originally intended. We are here to ease some of that burden with 10 helpful tips for finding the right safety signs to satisfy your business needs. 1. Identify Areas that May Need Safety Signs Before even beginning a search for a safety sign supplier, the first step in the process should be to accurately identify any areas within your facility that may be in need of safety signage. Think of all areas used by employees and/or customers such as aisles, walkways, fork lift zones, hazardous waste areas, potential slippery surface areas, etc. The key here is to identify all the locations that could pose hazardous conditions so proper signage can be created. 2. Pinpoint Potential Safety Hazards. Once certain areas have been designated as potentially hazardous, the next step would be to determine the actual safety hazards in the area that pose risks. An example of this could include an area where liquids are routinely transported. In this case, a spill may be likely which could endanger employees or customers due to the enhanced risk of a slip or fall. 3. Determine the Message to be Conveyed by the Signage Signs are posted everywhere, from "Watch Your Step" signs to "Employees Only" signs. However, for a sign to be truly effective it must convey a clean and clear message that can be understood easily by nearly anyone. For instance, in a work environment that includes welding, safety signs warning of potential arc flashes may be needed. In this case, a sign should be posted instructing anyone who enters to wear proper protective gear, this sign could read "Warning: Arc Flash Zone Proper Protection Required." 4. Consider the Conditions where the Signs will be Located Now

In the business world, there is a constant need and desire for improvement. It doesn't matter whether a business specializes in the market of rare auto parts or in making the best enchiladas. The plain and simple truth is that improving business practices to meet the ever-changing and diverse needs of society is essential to the success of any business endeavor. However, with all this change and improvement often comes a little struggle. Sometimes business processes are changed so radically that employees struggle with the changes if they are not adequately informed about what changes are taking place or how the changes actually benefit the specific process or end product. Furthermore, in some cases the problem is not with the employees at all, but instead embedded within the actual process changes. When looking into making improvement changes, it is important to really take the time to evaluate the changes fully to make sure that they are win-win for both the employees and the desired business objectives. Employee Involvement In the improvement process, there are often many things to consider especially such as metrics, data, resources, etc. However, it is important to make sure that employees are also considered within the grand scheme of things. There are times when businesses make essential changes that are needed to stay current with the changing times, but often neglect to involve the actual employees in the process of determining changes, or in the reasoning why specific changes were made. This can leave employees feeling a bit resentful and also leave processes lacking in certain important fundamentals. For instance, the top managers in a business make the decision to improve a production line within the factory because many of the machines were getting older and not handling the work as effectively as needed. In order to update the production line to new standards, new machines were installed and tweaks were made to previous processes in order to help

Nonprofit organizations play an important role in the development of healthy communities by providing key services that promote economic stability and mobility.

Modern, RESTful APIs are not considered standard, table stakes and expected out of any new project, effort, application, system, service or product. It has become so normal to talk about developer interfaces, developer adoption, application development and innovation in the same breath as APIs that a distinct effort to build APIs for a new product or service seems out of place and abnormal. APIs are the defacto standard of app development. So where do we go from here? We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution. Innovation - Starts, and Ends with APIs All modern technologies such as Artificial Intelligence, Machine Learning, ChatBots, Analytics, BlockChain etc. begin and end their stories with APIs. APIs are what enables the communication between front-end user interfaces and the backend technology services. All new machine learning capabilities offered out of the big four tech companies have seen the light of day through APIs. Intent & Sentiment extraction, Topics, Categories, Summarization, Image Recognition, Entity Extraction etc. are all capabilities powered by Machine Learning, Natural Language Processing that is ultimately being delivered as APIs to application developers. Similarly, ChatBots are typically designed to get the user entered text, use an intent API to determine intent and then use a service API to respond to the user conversationally or with a service. Clouds - Multi-Cloud, Hybrid Cloud As the big three cloud providers grow their market share and attempt to attract attention, increasingly, enterprises need to think about how they minimize their risk by building in the flexibility to switch their cloud provider if and when they need. In addition, hybrid architectures or a cloud migration

According to CMI "72% of the Least effective marketers are challenged with producing engaging content". Learn the 5 most popular content marketers' struggles.

Digital Transformation is tough, even for seasoned technologists. This is because it is a transformation of an organization at its core. Everything from culture, technology, ideation, development, integration, delivery, and support needs to fundamentally shift to be more customer-centric, service driven, automation first and experimental in nature. No wonder that a lot of organizations take a long time and a lot of investment to see ROI from their digital transformations. Here are 5 signs that your digital transformation might be in trouble. Culture mistrusts the core digital transformation team You are spawning new initiatives before completing previous ones Decisions are top down with low accountability at the leaf nodes You tend to focus on technology stacks with little focus on customer value Inter-organization politics stifles cross-organization scenarios Culture mistrusts the core digital transformation team It is almost impossible to make an entire organization aware and participate in digital transformation at the same time. There are exceptions but in our experience, starting out with a core digital transformation team is a much better strategy than otherwise. This team should be enabled to attack a limited set of important and business relevant problems, build cutting-edge solutions and use them as examples to train and evangelize digital transformation strategies to the rest of the organization. However, the more entrenched an organization in the old way of doing things, the harder they might this central team. Resistance can be active and passive such as refusal to share data or provide the relevant context of the problem. An organization that does not set up the early crusaders for success almost always has a much harder time showing value from their digital transformation activities. You are spawning new initiatives before completing previous ones Executing on a digital transformation strategy is much harder than defining the strategy especially fo

A lot has been said about agility and the need for enterprises looking to innovate and disrupt to build agility. Agility, at the same time, also gets confused with the process of scrum. Small and large teams get enamored with the idea of scrum and mistake the process with the state of being agile. This is often more detrimental to the enterprise and can often create more process and not enough real agility. What is Agility Agility is the efficiency with which an enterprise executes and delivers on its objectives and goals. Agility is the ability to react to changes in goals, feedback from customers and shifts in strategy. Agility, from the outside, looks like a predictable stream of value delivered by the enterprise that matches and exceeds the needs of the customer. Organizational agility requires agility at multiple levels within the enterprise to drive the insights that can channel and align the efforts of the entire organization by leveraging data and information to make quick and informed decisions. Business Agility Business and customer-facing employees need to achieve "Business Agility". This is the ability of these employees to react to business critical in real time if needed and have access to the latest information at any decision point. Business Agility enables users to reduce the latency or lag between a need in the market or of the customers and when they are able to service the need. Decision Agility Analysts and data scientists creating the insights to drive decisions require "Decision Agility" i.e the ability to easily discover, leverage and use data for analytics and insights through any and multiple tools and channels. Analysts and data scientists need to produce insights that reduce the time and effort required to convert data into information and insights that are required to drive key decisions and actions. Development Agility Application developers and data engineers need the ability to easily generate, collect, access and deli

When people think about personal protection equipment, they typically think about hard hats, steel toed boots, and safety goggles. One of the most commonly used types of protective gear, however, is fairly normal looking protective apparel. Protective apparel from KleenGuard is used in many industries ranging from medical labs to manufacturing facilities and offers an excellent first line of defense from a wide range of different hazards that are commonly found in the workplace. Look Like Normal Work Clothing or Uniforms The apparel from KleenGuard is designed with safety first in mind, but it is also made to look and feel nice so employees will be happy to wear it. In fact, many people don't even realize that this type of apparel is a form of protective gear that is keeping them safer while at work. Depending on which apparel is chosen, these items can be buttoned up, zipped up, sealed with tape, or slipped right on to allow easy preparation at the start of a shift. Types of Protection KleenGuard makes a full lineup of protective apparel, so looking at each individual item is the best way to learn about what types of protective features it offers. The following, however, are some of the different ways that KleenGuard protective apparel help to keep those who are wearing it safe: Liquid Barrier - The material is made to stop liquids from soaking through and coming in contact with the skin. This is important when working with biological liquids (body fluids, etc.) or when working with chemicals that could cause skin irritation. Particulate Barrier - Stopping particles of materials from getting through the clothing is an important feature. Tiny particles of wood, metal, fiberglass, or other very small materials are kept away from the skin to avoid irritation or other issues. Antistatic - The material resists the buildup of static, and passes the NFPA 99 criteria for this feature. Avoiding static is important in many industries and can be a key safety featur