Time to upgrade your data centers.

90% of the world's data has been generated over the last two years, according to the reports. With this increasing amount of data it is necessary for the organizations to upgrade the data centers. In order to cope up with the emerging technologies, data modernization is very important. Those still stuck to the old ways are at a loss. Data organization done in a proper way gives way to crucial insights. This doesn't mean only adding more servers, but finding a solution that takes care of economic conditions, technical aspects, people and the processes involved. Cloud based platforms are of great help. Plus with increased automation of technology, data centers can reduce the repetition of the mundane tasks. Read more at: http://www.information-age.com/technology/data-centre-and-it-infrastructure/123460849/why-all-industries-should-consider-modernising-their-data-centres

Email Marketing - a loyal friend to businesses.

Email Marketing is good for business. It is a tool continuously being used for connecting with the customers. Emails are sent comprising of newsletters, best deals, new products, etc. A few ways to enrich your email marketing are written here. Though not everyone opens the newsletter, but still it is important to give a detailed view to the customer of what you deal with. Order follow - ups gives a sense of satisfaction to the customers. Thus making long lasting bonds. It is important to approach the potential customers who aren't aware of your products. They might be in need, but due to lack of information they are inactive. A good conversion rate is observed in this category. The essence of businesses lies in their approach towards their customers. So it becomes a responsibility to bring the customers lost. Moreover, lucrative deals, coupons, discounts work quickly. Read more about it on: https://econsultancy.com/blog/67403-ecommerce-email-marketing-benchmarks-for-2016/

Taking online and offline marketing together with Machine Learning and Big Data.

Most businesses need a combination of multiple marketing techniques to exhaust the full potential and make it more productive. Though internet usage is increasing each day, but offline marketing channels still involve lots of customers. Best marketing strategies merge both offline and online marketing. This might seem a difficult task, but machine learning models make it easier. These lessons from the data field which channel, in what way, and at what time will be most effective for the particular set of customers. This is called intelligent messaging. Thus leading to maximize success of marketing. A significant increase in the success rate has been observed in the marketing strategies using these techniques. Learn more about it in the article written by Brendan O'Kane (managing director and chief executive officer of OtherLevels) at: http://www.itproportal.com/2016/01/04/intelligent-messaging-big-data-machine-learning-a-powerful-combination-for-multi-channel-marketers/

How Machine Learning can impact economics?

Machine Learning will have a big impact on economics as it helps in taking properly calculated decisions. The ML methods can be modified to make them fit for using in econometrics. These reduce risk to failure. Data is the key to success for this. Based on the previous records, a model can be trained. Economists are being increasingly interested in technology. ML can help in clarifying the real situation from what is being assumed. Many technical firms are hiring economists. The mix of proper proportion of technology with the knowledge of economists will definitely lead to great results. Read more about it in the article written by Susan Athey at: http://www.forbes.com/sites/quora/2016/01/27/what-will-the-impact-of-machine-learning-be-on-economics/#5bccf597ad5e

Data Driven Marketing with Machine Learning.

Ever wondered if machine learning can be used for Data Driven Marketing. The Intelligent Agent developed on the concept of machine learning takes a big leap in data driven marketing.  IA technology can learn about the user behavior and suggest most suitable actions. It can identify the most relevant data from the whole lot and can even find out the reasons for the importance or relevance of that data. Artificial Intelligence is revolutionalising the field of marketing. Intelligent Agent would reduce the manual processing and will produce better results. Read more about it in the article written by John Bates (Senior Product Manager for Data Science & Predictive Marketing Solutions) at: http://blogs.adobe.com/digitalmarketing/analytics/data-driven-marketing-ready-for-machine-learning/

What if the Predictive Model goes wrong?

Predictive models are used to predict future outcomes on the basis of data collected from past. Many organizations take their crucial decisions based on the foundations laid by the predictive models. But what if the model goes wrong? "BOOM"- crash of a significant part of the strategy! Though each predictive model has some scope of error. There are chances that the input variables considered in the model were not appropriate. But we need to find out what kind of error and to what extent it is acceptable. There is a need to work on the foundation of the predictive models to prevent failures. Read more about it in the article written by John Bates (Senior Product Manager for Data Science & Predictive Marketing Solutions) at: http://blogs.adobe.com/digitalmarketing/analytics/what-to-do-when-your-predictive-marketing-is-wrong/

Rule- Based or Algorithmic Attribution - Which to choose?

A lot is investment is made in the digital marketing campaign. Before planning the campaigns, it is important to correctly determine whether to use Rule Based or Algorithmic Attribution. First, we have to analyze the data in hand properly. If the data is coming from different platforms and needs to be combined or analyzed at one platform, then Rule Based Attribution can't be even thought of, go for the latter. Rule Based Attribution uses the last touch as the final touch, so sometimes it can be misleading. If the journey to the destination has been maneuvered by the smart moves at each step, then we can't rely on the Rule- Based approach. But if the algorithmic approach was that easy, everyone could have adopted it. Read more about the pros and cons of each in the article written by Matt Scharf (Senior Manager at Display Media Operations & Analytics at Adobe Systems) at: http://blogs.adobe.com/digitalmarketing/analytics/rules-based-vs-algorithmic-attribution/

"Disapperables" - The upcoming Smartwears.

The fast growing field of "wearables" has brought in one amazing technology. This is being called as "disappearables". The logic behind this is to make technology modest. The wearables should capture energy from the surroundings, sense and observe the environment around. But the challenge for the wearables manufacturing companies is to produce cost efficient products. These should not be restricting the body movements or shall not have the consistent charging issues. This new technology is called disappearables because the user itself can't tell whether he is wearing the smart wear or not. Read more about this amazing technology in the article written by Ben O'Brien (Contributor) at: http://www.entrepreneur.com/article/254301

Marketing Measuring Metrics

The purchasing decisions taken by the customers are more often the result of online reviews and various comparisons. After buying products they themselves become reviewers and express their views on web about the product. This significantly impacts the reputation of the product and hence the company. This expands marketing horizons, thus its measure can't be only limited to ROI (Return on Investment). Work of marketers is not limited to being just creative. It is important for them to be contributing employees to the organization. Testing of the marketing strategy should be done. All the influencing factors should be kept in mind. The marketing team should be aware of when to measure. Read more at: http://bloomreach.com/2016/01/measuring-marketing-roi/

Software Requirement Specification Document

After analyzing the requirements of the task to be performed, the next step is to analyze the problem and understand its context. The first activity in the phase is studying the existing   system and other is to understand the requirements and domain of the new system. Both the activities are equally important, but the first activity serves as a basis of giving the specifications and then successful design proposed system. Understanding the properties and requirements of a new system is more difficult and requires creative thinking and understanding of existing run in system is also difficult, improper understanding of present system can lead diversion from solution.

2.2.1 PERFORMANCE REQUIREMENTS

We don’t have an exact idea for the performance requirements at this stage. Maybe at this stage we must say.

1. A powerful server.

2. A good hard disk (fast and big) that is essential for a database.

3. The files must be saved so that they can be downloaded any time.

2.2.2 DEPENDENCY REQUIREMENTS

The project depends on the user’s ability to understand the features of the online sharing and able to use the best of it. If the internet connection is not proper then this application will not work.

2.2.3 SECURITY REQUIREMENTS

2.2.3.1. Data Transfer

1.      The system shall use secure sockets in all sharing that include any confidential Information.                                                                                

2.      The system shall automatically log out all users after a period of inactivity.

3.      The system shall confirm all sharing with the user’s web browser.

4.      The system shall not leave any cookies on the user’s computer containing the user’s password.

5.      The system shall not leave any cookies on the user’s computer containing any of the user’s confidential information.

2.2.3.2 Data Storage

1.      The user’s web browser shall never display a user’s password.  It shall always be echoed with special characters representing typed characters.

2.      The user’s web browser shall never display a user’s files after retrieving from the database.

3.       The system’s back-end servers shall never display a user’s password.  The user’s password may be reset but never shown.

4.      The system’s back-end servers shall only be accessible to authenticated administrators.

5.      The system’s back-end databases shall be encrypted.

2.2.4 FUNCTIONAL REQUIREMENTS:

This includes the list of the things that need to be includede i.e. the functions the project must accomplish.

2.2.5 MAINTENANCE REQUIREMENTS

The source code developed for this system shall be maintained in configuration management tool.

2.3 VALIDATIONS:

We will load the database with sample data and show the smooth functioning of the various facilities. Tests correctness will be conducted.

2.4 SDLC MODEL

The model is that is basically being followed is the WATER FALL MODEL, which states that the  phases are organized in a linear order .First of all the feasibility study is done .Once that part is over the requirement analysis and project planning begins,. If system exists one and modification and addition of new module is needed, analysis of present system can used as basic model.

The design starts after the requirement analysis is complete and the coding begins after the design is complete. Once the programming is completed, the testing is done .In this model the sequence of activities performed in software development project are:-

·         Requirement Analysis

·         Project Planning

·         System design

·         Detail design

·         Coding

·         Unit testing

·         System integration

    

Necessary groundwork before approaching a Marketing Automation Vendor

Before you approach a marketing automation vendor, there is always some necessary groundwork to do. This is not only important to prevent making fool out of yourself, but also to get best out of the vendor. A vendor can only provide what you want, if you have 100% clarity of it. It is important to highlight your needs. Add-ons are always good if they make your work better. Keep the strengths and drawbacks of your old system in mind. A clear goal must be decided before starting the automation. Read more about it in the article written by James A. Martin (tech journalist and bloggerz) at: http://www.cio.com/article/3023570/marketing/12-questions-to-ask-marketing-automation-vendors-before-you-buy.html