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Angular vs React? Which one is the best one for developing a JS framework for your project? The confusion is actual because Angular vs React both are famous JavaScript frameworks.

Angular vs. React With the massive rise in technology and platforms, we're astonished to see how developers are scaling up their skillset and creating remarkable technology impact overall. Angular and React are both famous java script frameworks used to develop the front end of the website and make it a perfect opportunity for visitors.

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

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

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

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

Improve Organization and Efficiency with Industrial Labeling Industrial labeling is an essential activity in any facility, and for many different reasons. For example, it can help to improve safety as well as organization and even efficiency. In fact, proper labeling can benefit almost every measurable area of the facility. If you don't already have a proactive labeling policy within your facility, look at the following ten points to see why it is so important. 1. Regulatory Compliance One of the most important reasons why you need to focus on proper industrial labeling is that it is often required by organizations like OSHA. If you are using certain hazardous chemicals, for example, you will need to have the containers labeled using the proper industry standards. In addition, you must put these types of labels on any products that contain these chemicals before you ship them out. There may be other regulations where you need to have proper labeling too. Machines and pipes that use or transport hazardous items will often need to be properly labeled. Even if it is just steam that is being transported, you should likely have it clearly noted so nobody accidently burns themselves while working in the area. 2. Tracking Maintenance Tasks Many facilities will use industrial labeling to distinguish different machines or vehicles within the facility. This is much easier to use than checking the VIN or serial number each time, and it can make scheduling the maintenance of these items much easier. If you have an industrial label maker, you can print off a label that has a bar code or other easily identify mark. This can then be scanned by the maintenance team every time they change the oil or perform any other type of work. This can help them to log all the activities they have done, and even make it so all their activities are tracked through computer programs. However you decide to actually track and store the information, you will find that having each machine ta

Introduction to Operational Excellence For most of us, Lean is a common concept by now. By extension, we're also familiar with the idea of continuous improvement; the way we run our business should ultimately be reflective of a chain of efforts to change for the better and reach more perfect efficiency. That's all well and good, but we've seen more and more businesses shying away from simply relying on "continuous improvement" in recent years and instead throwing around the term "operational excellence." While the two terms do ultimately work in tandem, and even though there's some overlap, it's important to understand where the two differ. A good way to think about operational excellence is as the answer or endgame to your continuous improvement actions, it's a state you want to attain through your workplace improvement endeavors. Unlike continuous improvement, however, where you're simply trying to 'always get better', operational excellence has a more clearly defined point where it can be said you've reached your goals. One of the biggest criteria for operational excellence is a horizontal and vertical (so throughout all levels and teams of a company) understanding of how workflow should look and how to correct problems when something isn't flowing correctly. This creates operational excellence because employees are now able to solve their own problems without relying on specialists or management, drastically decreasing downtime and putting them into a preventative rather than a reactive mode when solving problems. Furthermore, operational excellence then frees up your management and executives to focus on advertising and brand/market expansion planning and projects. In short, operational excellence allows a company to achieve continual improvement while still having the resources to put an emphasis on bottom line and market share growth. Operational Excellence Question Posed Sounds pretty awesome, right?! We think so, but you

Sentiment, Sentiment Analysis, Sentiment Tracking have become a hot topic with multiple 'AI' startups focussing on providing sentiment driven insights to enterprises. The number of such startups points to the potential that enterprises see in Sentiment analysis and the impact it has on how the enterprise plans, operates, executes and delivers value. Sentiment Analysis is process of extracting sentiment (emotion or feelings) captured in signals that are embedded in various types of media such as print, text, audio, video, images etc. For example, if a reporter submits a report on a particular enterprise, the sentiment embedded in the article can point to how excited, worried, upbeat or impassive they might are about the enterprise. This sentiment can be then used by the enterprise to understand the perception about the enterprise that the external market carries and whether that perception is improving, degrading or staying unchanged. This insight can be used by the enterprise to improve their go to market plans, change their PR strategy or even go deeper and change their product strategy. Sentiment Analysis Is Not New The tracking, measurement and use of Sentiment is not a new scenario. Enterprises have been leveraging the output of sentiment analysis for a long time. User surveys, focus groups, market research, customer interviews etc. are all examples of generating data to perform and track sentiment. Similarly, influencer marketing through association with influencers or events or organizations with a certain perception or sentiment associated with them is a common technique to improve the enterprise's own sentiment. Sentiment Analysis and strategizing based on the analysis is a common and required function for any enterprise. Sentiment Analysis Using Artificial Intelligence With the advent of Artificial Intelligence (AI), enterprises now have another technique in their kitty to understand how they are perceived in the market and how that perception i

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

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