Make Your Marketing Global With Oracle Database Users Email Lists

Oracle Database Users Email Lists – Marketing activities will be successful when it spreads the right message to the target customers. The technology-based marketing requires additional emphasis as the marketers will be targeting a niche customer base. It makes lead generation and customer engagement a difficult task to achieve. So, if a business is trying…

Oracle Database Users Email Lists – Marketing activities will be successful when it spreads the right message to the target customers. The technology-based marketing requires additional emphasis as the marketers will be targeting a niche customer base. It makes lead generation and customer engagement a difficult task to achieve. So, if a business is trying to expand its wings in the global markets, then it needs to plan and strategize the marketing activities way ahead to generate the desired results.

Here are some of the best practices which a technology-based business should keep in mind for marketing certain solutions to the Oracle Database users. Following these tips, marketers can plan better ways for business expansion in the international market using an Oracle Database Users Email Database.

International Marketing

When a business plans to expand its reach in the global market, it needs to focus a lot on the set of rules that are applied in the target market. Many businesses find this task extremely daunting. What the marketers need to do is understand the privacy regulations, language preferences, and ISP rules of the country. Correspondingly, form an interesting marketing campaign. Also, they need to connect with the customers at the right time. Here, being aware of the customers' time zones will be rewarding.

Opt-outs from the Global Market

Like the CAN-SPAM Act in the US, businesses trying to connect with the companies outside the nation need to understand the similar rules they are planning to target. Read and understand the anti-spam legislation of the target country. Doing a thorough research before sending the emails and newsletter will help in reducing the opt-outs. Remember that if a prospect requests for an opt-out, it should be handled immediately. If not, it can hamper the business reputation in the global market.

Effectiveness

To maintain the effectiveness of the marketing collateral it is necessary that a business conducts proper testing. It helps to understand the right time to execute the marketing campaign. Continuing testing will help you to understand the demographics of the interested customers, the way the contents are taken by the target audience, and the required changes to be made to make it more presentable.

Double Opt-In of the Oracle Database Users Email Lists

Email best practices state that it is better to perform double opt-ins if you are marketing technology-based products and services. It mainly improves the deliverance rate of marketing activities. Following the social media feeds and newsletters of certain organizations that focus towards the best practices of email marketing across the globe will be helpful.

Follow the above-discussed tips to meet the audiences' expectations in the international market while planning an international email marketing strategy.

The Potential And Limitations Of Artificial Intelligence

Everyone is excited about artificial intelligence. Great strides have been made in the technology and in the technique of machine learning. However, at this early stage in its development, we may need to curb our enthusiasm somehow. Already the value of AI can be seen in a wide range of trades including marketing and sales,…

Everyone is excited about artificial intelligence. Great strides have been made in the technology and in the technique of machine learning. However, at this early stage in its development, we may need to curb our enthusiasm somehow.

Already the value of AI can be seen in a wide range of trades including marketing and sales, business operation, insurance, banking and finance, and more. In short, it is an ideal way to perform a wide range of business activities from managing human capital and analyzing people's performance through recruitment and more. Its potential runs through the thread of the entire business Eco structure. It is more than already already that the value of AI to the entire economy can be worth trillions of dollars.

Sometimes we may forget that AI is still an act in progress. Due to its infancy, there are still limitations to the technology that must be overcome before we are indeed in the brave new world of AI.

In a recent podcast published by the McKinsey Global Institute, a firm that analyzes the global economy, Michael Chui, chairman of the company and James Manyika, director, discussed what the limits are on AI and what is being done to alleviate them.

Factors That Limit The Potential Of AI

Manyika noted that the limits of AI are “purely technical.” He identified them as how to explain what the algorithm is doing? Why is it making the choices, outputs and forecasts that it does? Then there are practical limitations involving the data as well as its use.

He explained that in the process of learning, we are giving computers data to not only program them, but also train them. “We're teaching them,” he said. They are trained by providing them labeled data. Teaching a machine to identify objects in a photograph or to acknowledge a variance in a data stream that may indicate that a machine is going to break down is performing by feeding them a lot of labeled data that indicates that in this batch of data the machine is about to break and in that collection of data the machine is not about to break and the computer figures out if a machine is about to break.

Chui identified five limitations to AI that must be overcome. He explained that now humans are labeling the data. For example, people are going through photos of traffic and tracing out the cars and the lane marks to create labeled data that self-driving cars can use to create the algorithm needed to drive the cars.

Manyika noted that he knows of students who go to a public library to label art so that algorithms can be created that the computer uses to make forecasts. For example, in the United Kingdom, groups of people are identifying photos of different breeds of dogs, using labeled data that is used to create algorithms so that the computer can identify the data and know what it is.

This process is being used for medical purposes, he pointed out. People are labeling photographs of different types of tumors so that when computer scans them, it can understand what a tumor is and what kind of tumor it is.

The problem is that an excessive amount of data is needed to teach the computer. The challenge is to create a way for the computer to go through the labeled data quicker.

Tools that are now being used to do that include generative adversarial networks (GAN). The tools use two networks – one generates the right things and the other distinctions wherever the computer is generating the right thing. The two networks compete against each other to permit the computer to do the right thing. This technique allows a computer to generate art in the style of a particular artist or generate architecture in the style of other things that have been observed.

Manyika pointed out people are currently experimenting with other techniques of machine learning. For example, he said that researchers at Microsoft Research Lab are developing in stream labeling, a process that labels the data through use. In other words, the computer is trying to interpret the data based on how it is being used. Although in stream labeling has been around for a while, it has recently made major strides. Still, according to Manyika, labeling data is a limitation that needs more development.

Another limitation to AI is not enough data. To combat the problem, companies that develop AI are acquiring data over multiple years. To try and cut down the amount of time to gather data, companies are turning to simulated environments. Creating a simulated environment within a computer allows you to run more trials so that the computer can learn a lot more things quicker.

Then there is the problem of explaining why the computer determined what it did. Known as explainability, the issue deals with regulations and regulators who may investigate an algorithm's decision. For example, if someone has been let out of jail on bond and someone else was not, someone is going to want to know why. One could try to explain the decision, but it certainly will be difficult.

Chui explained that there is a technique being developed that can provide the explanation. Called LIME, which stands for locally interpretable model-agnostic explanation, it involves looking at parts of a model and inputs and seeing that that alters the output. For example, if you are looking at a photo and trying to determine if the item in the photograph is a pickup truck or a car, then if the windscreen of the truck or the back of the car is changed, then does either one of those changes make a difference. That shows that the model is focusing on the back of the car or the windscreen of the truck to make a decision. What's happening is that there are experiments being done on the model to determine what makes a difference.

Finally, biased data is also a limitation on AI. If the data going into the computer is biased, then the output is also biased. For example, we know that some communities are subject to more police presence than other communities. If the computer is to determine whether a high number of police in a community limits crime and the data coming from the neighborhood with heavy police presence and a neighborhood with little if any police presence, then the computer's decision is based on more data from the neighborhood with police and no if any data from the neighborhood that do not have police. The oversampled neighborhood can cause a skewed conclusion. So reliance on AI may result in a reliance on inherent bias in the data. The challenge, therefore, is to figure out a way to “de-bias” the data.

So, as we can see the potential of AI, we also have to recognize its limitations. Do not fret; AI researchers are working feverishly on the problems. Some things that were considered limitations on AI a few years ago are not today because of its quick development. That is why you need to constantly check with AI researchers what is possible today.

4 Benefits of Making a VIN Decoder Part of Your Fleet Management Software

So, you have a system that helps companies manage their fleet more easily. This system helps your customers perform their vehicle repairs and title renewals. They even use your software to get the most out of their vehicle fuel. Now, you may be thinking what else you may need to add to your software. Actually,…

So, you have a system that helps companies manage their fleet more easily. This system helps your customers perform their vehicle repairs and title renewals. They even use your software to get the most out of their vehicle fuel. Now, you may be thinking what else you may need to add to your software. Actually, you need to keep working on your systems to ensure they solve each and every problem that your customers may have. A VIN decoder should be part of your fleet management solution. Let's look at some of the benefits of this system.

1. Quicker accessibility to the desired info

Everyone loves a UI that allows him or her to perform a quick search. VIN allows users to do the same.

Users may use the VIN to access the maintenance history, find out about the driver of the vehicle and many other tasks. If your company has a fleet of thousands of vehicles, it may be beneficial for you to have a VIN decoder. After all, user experience is the most things for any business owner. In fact, the success of a business depends on it, partly.

2. Quicker additions

For each vehicle, tracking down the specs and details and then entering that info into the software system is not an efficient approach. Given below are some problems:

With no OEM connections, it's difficult to find specific information about a vehicle.

It takes a good deal of time to manually enter all the details. It also involves higher chances of error.

If you add a VIN decoder to your application, users will be able to enter the VIN and get the rest of the info filled in automatically. This way, your customers can save time and enjoy a higher level of accuracy at the same time.

3. Faster search and decoding

At times, your customers may want to add information about multiple vehicles at the same time. Based on the list size, it may take them hours to make all the entries. Luckily, the majority of VIN decoders allow the decoding of multiple entries at the same time.

4. Cleaning the details & specs

In some cases, your clients may experience some discrepancies in the information, inconsistant descriptions of the vehicle or blank fields. On the other hand, a Vehicle Identification Number solution works with the data 24/7. Plus, they are in touch with all the OEMs in order to make sure accurate data is provided.

So, if you make a VIN decoder part of your software, you can let your customer clean the specs and details of vehicles, fill in the blank fields and correct the existing descriptions with ease.

Conclusion

Long story short, if you implement this solution to your application, you can provide a lot of additional value with your clients. Moreover, your customers can enhance their processes, which is beneficial for both you and your customers. So, it's a good idea to give a go to this system. Hopefully, you will not regret your decision.

Moving To the Cloud? Know How It Can Be Rewarding for Your Business

In reality, we all are already preferred by cloud computing. Every time we send an email, or log on to share pictures or edit a document, we are operating in the cloud. However, in the realm of business, moving to the cloud database empowers them to take care of their processes and resources more easily…

In reality, we all are already preferred by cloud computing. Every time we send an email, or log on to share pictures or edit a document, we are operating in the cloud. However, in the realm of business, moving to the cloud database empowers them to take care of their processes and resources more easily and efficiently. Further, there's no added investment for hardware support. The prime advantage is that businesses of all kinds and or all scales are capable of leveraging cloud ERP, irrespective of the processes they deal in.

In short, growth is inevitable with cloud support as you get to manage everything with few hands and also maintain transparency. So, if you still have not moved from on-concessions software applications or hardware systems to the cloud, these reasons will compel you to do so.

# 1 Immense flexibility

A cloud solution of ERP is best for every business that aspires to grow despite the fluctuating demands. With right information transferred to the cloud database, at the right time, decision-makers can know what's going on in the market and plan production accordingly.

# 2 Can work anytime from anywhere

With the basic requirement of an internet connection, employees and any members have the option to work from anywhere anytime. By logging in the online portal, they can inquire about any process, enter information, contact other employees, check reports and so forth. In short, keeping all data-related tasks on a cloud platform gives immunity work flexibility to employees.

# 3 Enhanced security level

Without a doubt, cloud ERP offers more security and protection to the company's database than any other on-premise systems. While leaking of data is a rare consequence as it is protected by a password, loss of data can be easily recovered. If a device goes missing, the data is still accessible from any other device, being stored in the cloud.

# 4 Quick recovery

Cloud applications do not need a data backup or recovery plan. You can save up a lot of your time and investments made by backing up everything from time to time. Everything gets saved real-time in the cloud platform and none gets removed until you intentionally delete them.

# 5 Auto Update run

With the cloud-based operation, you get relieved from the need of updating your hardware or IT systems regularly investing a considerable amount every time. The cloud ERP applications are well equipped with auto-update. That is, every time a version update is released, you will get notified and can run on the update yourself.

Apart from the above, a noticeable advantage of using cloud ERP cuts down your overall capital expenses as there are least requirements for computers or backup systems. Either you go for pay and subscription model, or seek development and deployment support from an ERP partner, the costs are much lower both the ways.

How Would You Select A Test Automation Tool?

In such a situation software testing becomes critically important, and organizations are always looking to increase code coverage and accelerate the testing. This is where Test Automation comes into the equation. There are a variety of Test Automation tools that are available as both open source as well as licensed. These tools have multiple features…

In such a situation software testing becomes critically important, and organizations are always looking to increase code coverage and accelerate the testing. This is where Test Automation comes into the equation. There are a variety of Test Automation tools that are available as both open source as well as licensed. These tools have multiple features and claim multiple benefits. Clearly, it is critical to choose the right automation tool as each one has its own challenges such as implementation complexity, training need, usability aspects, overall productivity and timeline impact, cost-effectiveness and so on. Here is a suggested list of factors for organizations to consider before selecting the right test automation tools:

Identify the scope and conclude on technical feasibility
As the first step, it is important to identify the complete scope requirements and various development technologies involved in the architecture of the application under test. The requirements need to be clear, precise, and thoroughly reviewed before the tool selection process comes into the picture. Once the requirements are well documented the appropriate tools should be shortlisted which can best meet the needs with less cost and implementation effort – but more about those issues later.

Building the business case
Organizations must first decide on their desired Return on Investment or do a cost-benefit analysis before selecting the right tool based on the scope of the project. If you want to know how to go about doing that – this post of ours may help! As per the results, if the analysis of the output is that implementing the tool will consider improve productivity of test execution or consider reducing testing effort then it should be pursued further. Some of the automation tools can help create automated tests without the need to code – this impacts the type, and hence the cost of resources to be deployed. The cost of developing tests by hiring specials versus the cost of investing in the automation tool needs to be compared and analyzed.

Open source vs licensed tools
There is little doubt that licensed tools have more inbuilt features, but they always come with a higher cost. For smaller and mid-size projects, open source tools along with minimal customization can serve the purpose rather than investing in licensed tools. Some of the open source tools have limited features, for example, they can execute only specific tests or have support for specific languages ​​or operating systems, whereas some of the licensed tools have multiple features and functionality. The pros and cons of choosing the right tool need to be weighed. In the case of licensed tools, the post production or after sales support from the vendor needs to taken into consideration as well.

Proof of concept
Before finally drawing a conclusion, sometimes it may be advisable for organizations to do a small proof of concept project with the automation tool that is selected. Setting up the correct success criteria is an important aspect of a proof of concept for objective decision making. Licensed tools often have trial versions which can be downloaded and used for the proof of concept. Doing a proof of concept also gives an idea if test automation is indeed required or manual testing can suffice. Based on the outcome of the proof of concept organizations can narrow down the automation tool that best suits their needs which could be generating test results in a specific format, simple to implement, better test coverage, etc. In case the proof of concept is not successful or does not produce desired results, it can help to save time, effort and costs for the organization before the full-fledged project is executed.

Tools with enhanced features
As stated earlier, it is a must to choose the automation tool which fits the organization or project requirements. However, many automation tools have additional nice-to-have features which can benefit the organization in the long run. For a large organization working on several projects, it is good to have best of the breed automation software. Additional features like cross-platform and multi-language support, mobile device support, ability to connect to multiple test data sources, ability to generate detailed reports, integration with automated build software, and version control tools are few of the add-ons which an organization needs to consider.

Selecting the right automation tool is not a simple task and needs to be given considered thought. This is due to a wrong choice or decision may severely impact the project, the testing phase, or the end business goals. What has been your experience of choosing a test automation tool – what factors did you take into consideration?

Why Is the Marriage Between CRM and ERP the Best One?

CRM and ERP are two important Pillars of any businesses. If a thing or two goes wrong with any one of them, it can invite unpleasant consequences. However, we are talking about making a match here. Yes, a union of ERP & CRM. The question is, have you integrated these two with each other? Do…

CRM and ERP are two important Pillars of any businesses. If a thing or two goes wrong with any one of them, it can invite unpleasant consequences. However, we are talking about making a match here. Yes, a union of ERP & CRM. The question is, have you integrated these two with each other? Do your ERP and CRM interact? If your answer is no, it is time you must do something about it.

Before we get an understanding of why it is important to merge the two, it is important to understand both and their workings individually.

CRM & ERP: Understanding the Difference

A CRM takes care of all the customer service interactions and information including prospecting, sales tracking, pipeline management etc. ERP handles the internal information of an organization along with the backend processes. This includes aspects like shipping, accounting, billing, order placement, tracking and other supply chain details.

When it comes to ERP, Odoo ERP is the most popular and widely accepted software. A lot of companies are into Odoo ERP development and craft ERPs based on the customer requirements. Let us now understand what CRM & ERP makes the best match.

Easy Cross Collaboration

One of the major benefits of the union of ERP and CRM is – their potential to work cross-departmentally. By putting your front and back office tasks together, your sales representatives can have a more articulate service. Which in turn, can save a lot of time and money. For example, your call center representative can inform your customers about the order without undergoing the prolonged task of searching all the information. In a matter of few clicks, they can know about customer finances, returns, order histories, payments, etc.

Access to Customer Details

“We will get back to you in a matter of 24 hours”. Sales representatives often say this to most of their customers. However, they can rarely keep up to their promises. Through ERP + CRM integration, they can respond to the orders and inquiries without any glitches. This is majorly because they can get a detailed view about each customer and their details. This includes information about their buying preferences, needs, habits, account status and more. If you lack the technical knowledge about this integration and how it works, an Odoo Customization Service Provider can help.

Quoting and Inventory Management

Once the ERP and CRM are merged, the sales representative can look into the ERP of the company and find out about inventory and current cost of the products. Thereafter, they can find out about factors like promotions and discounts from the CRM and provide with an accurate quote to the customers. This way, the entire quotation process becomes glitch free and articulate. Customers do like transparent and quick communication processes. Possibilities of being able to do so brighten with the union of ERP and CRM.

Better Future

When it comes to accessing the data, most of the B2B companies need to access their data from their ERP solutions. As a part of it, they need to undergo activities like checking order statuses, monitoring their progress, checking the accounts etc. When ERP and CRM systems are merged, they offer better and real-time data which makes the business processes more predictable and accurate.

Concluding …

In today's tech driven world, it is extremely important to be agile. And to be able to do that, you must ensure that all the information flows seamlessly. When frontend and backend systems are merged, they simplify business processes and boost the ROI of any company. For a successful ERP and CRM integration to happen, you need to get in touch with a professional ERP development provider. Make sure you find the best one!

Advantages of Rapid Application Development

Rapid Application Development (RAD) Computer Assisted Software Engineering (CASE) tools and prototyping are used for describing processes to increase the pace at which a software is developed. If a company is developing a graphical interface for a gaming software, rapid software development tools would facilitate rapid development of codes by integrating all the basic parameters…

Rapid Application Development (RAD)

Computer Assisted Software Engineering (CASE) tools and prototyping are used for describing processes to increase the pace at which a software is developed. If a company is developing a graphical interface for a gaming software, rapid software development tools would facilitate rapid development of codes by integrating all the basic parameters in the prototype tools. A developer would simply use the tools instead of writing a separate section of codes for that procedure. Sometimes, some features of a program are compromised in order to generate the end product in less time. In simple words, the raw data of a firm is entered into this application, which processes it into finished and structured business and data models as software and its prototypes. The result is in accordance with the user's requirements.

An astounding 65% of the budget of large firms is spent on maintenance and upgrading its operating systems. These were designed only some time ago, but given the nature of alterations and their frequencies, many software require changes and transitions. Quite often, the end users can satisfactorily meet all their requirements even without some essential components of a software. It is the task of a software developing team to identify all such potential areas of operation which can be left out or encapsulated within a headline leader, to save the time, effort, and cost. In some other cases, the business which has ordered the software can negotiate on certain parts which can be done away with, before the software is fully developed. It may again save valuable cost and time before implementing the software.

RAD is a combination of entities like a well-defined methodology, a dedicated and trained staff, proper and efficient management practices, which uses both efficient manual and computer tools. The entire system of operation can be summarized as a software development mechanism providing higher quality in less time, using:

  • Software essentials restructuring
  • Prototyping and verification designs
  • Integrating all changes in the current model
  • Minimizing the effort of reviewing, testing, and other such steps

Advantages of Using RAD

There are many advantages of using RAD, and it can solve many concerns of the user as well as the developer.

  • Conventional software development methods take, on an average, almost 20% more time than the RAD procedure. Using RAD can enable quicker visualization of the end-design, and hence, allow rapid software testing and rectifying steps. The customer is able to have a faster look at the design to add valuable inputs, in order to make the design more user-friendly.
  • The current competitive scenario demands frequently upgraded software in order to effectively satisfy customers' requirements. RAD enables a faster and updated version to reach the end user, by systematically eliminating redundant steps or using the prototype methods.
  • Cost overruns and meeting the time constraints are another advantage, although not a big consideration in high-end uses.
  • RAD makes the development process to be a more reliable one by facilitating a scope for the customer to actively provide inputs and feedback in the development process. This may also prove feasible from the point of view of a developer.
  • It protects the current project from being subjected to variations in the market.

Rapid Application Development is an efficient methodology which can assist faster software development, and at the same time ensure maximum quality of the project as a whole.

Cloud Computing and Big Data Recipe Is Your Secret to Success

The Big data revolution and cloud computing are in a convergence state and companies are changing the way they think in terms of doing business to incorporate data that will drive their decision-making process. Business models evolve on a continuous basis and are currently targeting a system-wide transition based on a data-centric architecture. This architecture…

The Big data revolution and cloud computing are in a convergence state and companies are changing the way they think in terms of doing business to incorporate data that will drive their decision-making process.

Business models evolve on a continuous basis and are currently targeting a system-wide transition based on a data-centric architecture. This architecture will allow data to be their primary asset, accommodated by on-demand applications. The data centric architecture will allow for a shared model with less or less complexity.

Data will be permanent in nature, and will persist even after the application is no longer connected to the overall architecture. In short, the architecture will ensure that all processes spin out from a central architecture to support the organization's data-centric thinking.

The Cloud will Effectively Support Your Evolving Business Data

As long as organizations continue to depend on a data architecture which possesses inherent rigidity and complexity, they will be required to maintain their data on promise. In effect, their data handling strategy will lead to several obvious drawbacks.

Businesses will find it difficult to access the right information that has the ability to lead to actionable insights and measurable results for organizational success in a competitive market place.

In order to alleviate the worries of dealing with a time and resource intensive data architecture that continues to expand and evolve as per changing business needs, organizations feel secure while shifting their operations to the cloud.

The primary advantage of the cloud lies in its highly efficient resource utilization and the ability to relocate its data warehouse to an environment-friendly space which can later be accessed in the form of analytics as a service.

Your organization can choose to rely on a public, private or hybrid cloud infrastructure, depending entirely on its Big Data needs and regulatory goals.

The Future of the Cloud and Big Data Analytics

As more and more organizations opt for the cloud capability, the latter's security and data integration approaches are bound to experience a disruption. This will form part of a typical cloud technology evolution cycle, creating leakage for every business depending on the cloud.

Big data and the cloud create the right kind of balance to enable cloud-providers and businesses to get their share of competitive advantage and monetary value, central to business success.

In future, cloud providers will benefit immensely as more and more businesses involved in Big Data analytics will shift their operations to cloud servers. In the bargain, enterprises will realize hassle-free, low-cost infrastructure support to continue progressing with a big data strategy that matters for their success.

The Most Effective Ways To Boost Performance Of Windows 10

Several people who have installed Windows 10 often face the problem of a PC that lags! If you are someone who shares the same fate, this article is for you! Here are a few tricks that will help you boost the performance of your PC. so, let's get started! 1. Declutter Your System We all…

Several people who have installed Windows 10 often face the problem of a PC that lags! If you are someone who shares the same fate, this article is for you! Here are a few tricks that will help you boost the performance of your PC. so, let's get started!

1. Declutter Your System

We all have some unnecessary applications that consume space on our system. In all likelihood, these apps are slowing down your PC! So, just go to the Settings and then in that on, “Apps.” Once you've done this, the list of apps that installed on your system will appear and you can conveniently uninstall the ones that are useless or you have not used in a long time.

2. Alter Your Power Settings

If you use Windows 10 power saver plan, you are simply slowing down your PC. It reduces the performance of your PC in order to save more power. Changing your power setting to High performance or balanced will certainly yield positive results.

3. Install A Trusted Security Software

Many a times, a PC may slow down because of a malware in it. Therefore, invest in a reputed antivirus software and in case your system is slow because of malware, you'll see a significant change in your system's performance.

4. Check If You Are Short On Space

In a few cases, users who have consumed too much space on the disk face the problem of slow PC. So, check the amount of space that you are left with and free some space. This will definitely help you speed up your system.

5. Disable Programs That Run On Background

Many a time we are unaware of the programs on our system that continuously use resources and do not contribute much to productivity. Find those and disable them to make sure your system is not sluggish. To do so, press Ctrl-Shift-Esc to launch task manager and if no apps are visible then click on “More Details” that appear at the bottom of screen. If the background apps are running without your knowledge, then they will appear here. Now, all you have to do is right-click on the apps and disable them.

6. Turn Off Search Indexing

In Windows 10, your hard disk is getting indexed in the background so that when you search something, results appear in a jiffy. However, this is not as effective as expected and should be disabled. For doing so, type services.msc in the search box of Start Menu and click Services. Furthermore, scroll down till you find Indexing Service or Windows search and double-click it. Once you do this, a screen appears and now you just have to click on the Stop button. After this, just reboot your PC and you'll witness a noticeable difference. Experts say that this slows down searching your PC but you'll definitely notice any difference.

7. Disable Visual Effects

If you have spent reasonable time exploring Windows 10, you might have noticed that it has some really nice shadows, animations and other visual effects. Well, what you do not know is that these affect your system's performance! You can always turn them off just by following simple steps. Type “sysdm.cpl” on the search box of your system and press Enter. This will launch dialog box named “System Properties,” now click on “Advanced tab” and go to “Settings” which is in the Performance section. Here, there's a list that will have several option. In case you are just looking for a super quick solution, just click on “Adjust for best performance” and then on OK. Your system will automatically alter the settings so that you can enjoy better performance.

8. Take Help From Performance Monitor

Along with all good things, Windows 10 has an excellent tool known as performance monitor with which you can know about overall performance of your system and tricks to fix the same. To get this report, you'll have to type “perfmon / report” in your search box and hit Enter. Although it says, it will need only 60 seconds, you'll get the detailed reports in a few minutes. The report that generated is color coded so that you can easily find the issue which is causing system lag.

9. Kill Bloatware

We often ignore the fact that there are several factors behind slow system and bloatware or adware can be one of them. As these have been installed on your system by manufacturer, they can take up a lot of resources. By getting rid of this, you will boost your system's performance. For this, you'll need an efficient PC cleaning software or you can even use built-in features of Windows 10. All you have to do is, type “Windows Defender” in the search box of your system, press enter and then scan now. This will look for malware and other infected files and remove it for you.

Best Practices Of UI/UX Design To Retain Users

According to a report, 77% of users stop using an app within the first three days after download. What can be the cause of their soon exit? The answer is following the wrong UI / UX practices. There are several lifestyle applications designed for the users to use in their leisure time. Now the challenge…

According to a report, 77% of users stop using an app within the first three days after download. What can be the cause of their soon exit? The answer is following the wrong UI / UX practices. There are several lifestyle applications designed for the users to use in their leisure time. Now the challenge is how to develop an ideal user experience design for your mobile app. With the help of below-mentioned practices, you can turn your app into users' favorite.

Create A Positive First Impression: The ultimate goal of the UI / UX design of your app should let your users feel that they are a valuable asset for your business. You should ensure that the users must get a positive vibe when they first time visit your mobile app. Design the signup / login features as easy and seamless as possible. You may be required to gather customers' information during the onboarding phase. It can be a frustrating process, but you can design it cleverly. Only ask the questions which are absolutely essential and allow your users to skip steps associated with the questions having less value. If you need an authentication code, then never email it, but send it through a text so that the users' engagement with your interface should not get interrupted. Craft a user-friendly and simple interface which will encourage users to browse your app further. Do not overload your mobile app with a lot of test tutorials, but incorporate visual cues which will make the users understand the functionality of your app in an interesting way.

Build A Feedback Loop: Research and create feedback loops in your app in order to keep users hooked on to your app. One such example of creating loops using motion design can help the users to understand what's going on with the help of visible signs and symbols. In this, you use motion to reinforce every action of your user. For example, Apple's “horizontal shake” is one of the best examples of negative feedback loops. When you enter the wrong password on your iPhone the popup window “shakes” back and forth. This motion gives the users an instant understanding of the problem. Each step of your app should be crystal clear to the users. Users will get frustrated if they will not be able to understand every step they take on your app. It will push them either to delete the app or stop using it.

Redesign Or Tweak: You can begin with MVP (minimum viable product) as a strategy for gaining critical feedback in the early and most critical phases of the development of your mobile app. Users will not generally give reviews when your app works fine. But in case of any glitch, you will certainly get critical comments. You should tweak your app on the basis of these reviews. Do not try to redesign the UI / UX design of your app completely unless there is some serious issue. It is because you will lose your customer base if you do this. Despite this fact Target, Harley-Davidson and even Apple are a few big brands which have successfully undergone complete rebranding. Users may complain about these tweaks initially but later on, they will get adapted to it because these modifications will give a smooth experience to them only.

A great UI / UX design will let your mobile app thrive and flourish successfully. Follow the above practices and develop an exceptional user experience design of your next mobile application.