Every business wants to flourish and stay ahead of the competition. This why they are so keen to develop ways to increase their efficiency. Well CRM or Customer Relationship Management tool does is one way to achieve the same. CRM is solution based software that enhances the relationship between customers and employees. Its power comes from its knowledge base about the customers of the company.  It constantly gathers and interprets customer data and give insights into how serve them best. Read the complete article here: http://it.toolbox.com/blogs/insidecrm/crm-for-success-73151

Customers are the key to any business success. The more customers you have, the more revenue you generate. But the customers don't come on their own. They get attracted by an advertisement. The company targets them with marketing strategies. All the local marketing techniques like flyers and direct mail are still used. But since marketing is an enormous activity and has funds associated with it, we must track and analyze to its optimum level. Hence CRM comes to the rescue. They are - Use CRM to bring Analytics to Paper Marketing; to Automate Communications and Improve Response Time; to bring Social to a Local Business; to motivate the sales team. Read the complete article here: http://it.toolbox.com/blogs/insidecrm/how-crm-software-can-maximize-your-local-marketing-73152

CRM or Customer Relationship Management industry is growing day by day which expected evaluation of $36.5 billion by 2017. More and more companies are using CRMs to harvest their data and increase their profits. Despite the growth, still some people make mistakes which cost them a fortune. So here are three blunders to avoid –

·         Ignoring Social Media Integration

·         Forgetting Mobile

·         Annoying Customers with Too Much Marketing Material

Read the complete article here: http://it.toolbox.com/blogs/insidecrm/3-crm-blunders-you-need-to-avoid-73160

CRM or Customer Relationship Management System helps companies in building a healthy relationship with their clients. It increases company's productivity and profitability. Having the right set of technology not only benefits your business, but also smooth your relationship with your client. So these are few factors which must be kept in mind while looking for a customer Relationship Management system for your company- Focus, Host Infrastructure, Functionality, Your budget and Deployment. Read the complete article here: http://it.toolbox.com/blogs/insidecrm/5-factors-to-consider-when-selecting-the-right-crm-solution-for-your-business-73169

Search engine optimization (SEO) is process through which web data is collected .Web design directly affects the efforts of SEO. Analytics evaluates whether these efforts are working or not. Some of the efforts by web design analytics that can robust the search engine performance is:

1. Site analytics tools give the insights about most popular content on the web site. Therefore, one can tailor the content according to the theme.

2. One of the crucial analytics related to the web design is how fast (speed) the page loads, Google will take in consideration the speed factor in ranking the page.

3. Accessibility of the site is also important.

4. The content of the site should be relevant, specific location key words must be used in order to attract more customers.

To know more read article by Vinod Jethwani : http://www.business2community.com/seo/streamlining-seo-efforts-using-web-design-analytics-01534695#kjhQ7oxU11kCZeWv.97

Today companies are gathering more and more data but are not certain of what to do with this data. For the last five years, companies are getting in to the big data practices in order to get competitive advantage. Big data is basically using analytical software to visualize unstructured data (data available to the public) and structured data (companies propriety information) .This visualization does wonders, it gives predictive sales figures, future prospective of the company and sales target .Gathering information is getting simpler with the emerging software & IoT; but sorting and filtering the huge pile of data is a complicated process.

According to a new report, an analyst spends about 50-90% of their time in just cleaning and filtering the raw data. Companies can solve this problem by improving the data software where data can have lower level of risk for data scientist and algorithms can help in data cleaning.

To know more: http://www.zdnet.com/article/big-datas-biggest-problem-its-too-hard-to-get-the-data-in/

Collecting data is important to make operations efficient in a company. But, it is found that collecting and storing data is not enough. Companies must connect and analyze that data across organization. The purpose of data (structured or unstructured) is to extract insights and take accurate decision. But now it is becoming important for companies to connect data, including data from the contact center with the rest of the organization for an integrated view of the customer. Companies should utilize data to combine analytics from the contact center, workforce management, CRM systems, website, social media, surveys and product engagement tools. Read more at: http://callcentertimes.com/Home/tabid/37/ctl/NewsArticle/mid/395/CategoryID/1/NewsID/1197/Default.aspx

Big data Analytic can give real time analysis of huge, complex and continuously increasing dataset. It can be applied to many Business operations .But companies do not use this potential of big data analytics to supply chain management. Company can control the inventory and other supply chain operations more efficiently with help of analytic .for instance, companies can use unstructured data set in the inventory, forecasting and transportation for analysis and new insights can be delivered, like forecasting next date for restocking in supply chain planning. For the last 2 years big data had been used in the supply chain management but there is still a long way to go.

To know more read article by Bernard Marr : http://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management

Companies are looking for talented personnel especially in the analytics and big data sector. According to a new report, start-ups are offering phenomenal packages to data scientists as they give them a competitive advantage. Indian start-ups are willing to pay around 10.8 lacks to a talented analyst. Although the global market has been very fluctuating for the past five years but the need for a specialist is growing with the emerging work in this sector. Demand has grown but the supply has failed to meet .An Experienced Analyst (minimum 5 years) demands 12.3 lac to companies. Kolkata in India holds maximum number of analysts or data scientists. The average package salary of an analyst professional is 9.36 lacks.

To know more: http://economictimes.indiatimes.com/jobs/analytics-big-data-to-see-robust-hiring-high-pay-packets-report/articleshow/51105814.cms

The aviation sector is continuously facing cyber-threat. Hackers are targeting crucial infrastructural units and necessity services. The most alarming issues are a flight is not safe from the hacker's hands even when it is in the air. A recent report says a hacktivist easily hacked the on air entertainment system of a flight when it was on air and also take a control of the flight, which causes deviation from the actual course of flight and compelled it to fly sideways. Therefore, many experts believe that to hijack an aircraft one may not need to board on it, he/she can remotely access the unsecured Wi-Fi of the aircraft and take control of the cockpit. This irregularity is happening because the aviation security and network access is weak and the firewall standards are age old & hack able. So the transport safety department should take care of these cyber-attacks in the aviation section.

To read, follow: http://www.slate.com/articles/technology/future_tense/2016/05/the_aviation_industry_is_starting_to_grapple_with_cybersecurity.html

Predictive analytics is one of the most useful tools to analyze customer behavior on a particular product or services. This process helps identify customers’ needs and also chalk out a correlation matrix which helps to understand the additional demands. Companies monitor interactions of their clients to predict attrition. Negative consumer sentiment in social media, looking out for issues on the retailer's online knowledge base, and repeat calls to contact center may indicate attrition. It facilitates the next best interaction, monitor transaction details and analyze fraudulent activities. Neither business operations, nor business analytics have the complete information to make data-driven decisions, hence there exist a gap between customer needs and Delivery Company. To overcome this, customer centric ideas have to be taken in consideration. Businesses need a continuous and well-defined program to measure data quality. Establishing data quality standards and monitoring data quality quotient in real-time makes predictive analytics reliable.

To read, follow: http://www.cmswire.com/analytics/what-customer-centric-predictive-analytics-looks-like/

Digital marketing is already skyrocketing worldwide. This up growing popularity in digital marketing is not only confided inside the business enterprise but also the job oriented learning process is also at a higher demand. Online certification training company Simplilearn has seen 7,000 people take its digital marketing course that was launched in 2014. Of that, 2,500 have come in just the past six months. Not only the online certification platforms but few business management courses including this digital marketing as one of their special papers. A Report says there will be 1.5 lakhs jobs opening between 2015 and 2016 and of this 55% of the demand comes just from the IT sector, while e-commerce and internet companies account for 10%. The ironical part is Indian market is only visualized a growth of 10%. Even large FMCG brands have joined e-commerce players in investing about 15-20% of their market budget towards the digital medium. Not only that these certification based learning process provides new entrepreneurs in this section and the figure is not very low, it’s around 25% of the total certified students on digital marketing.  

To read, follow: http://timesofindia.indiatimes.com/tech/tech-news/Digital-marketing-certifications-go-hot/articleshow/52069003.cms

A successful business is no more only based on hard work but various other factors. One of them is the happy and satisfied employees. And the customer relationship management tool (CRM) can also improve employee's happiness. Well, happy employees are the productive employees. Employee with high job satisfaction and happy with his working environment will be more productive than the unhappy one. Reasons why CRM improves employee happiness: Reduced Stress through Up-to-Date Info; Collaborative Work Increases Happiness; Removal of Tedious Tasks; Out-of-Office CRM Access. Read the complete article here: http://it.toolbox.com/blogs/insidecrm/how-crm-technology-makes-for-happier-employees-73170

The dilemma of supply chain exists in every sector; even in the pharmaceutical industry. Availability of medicine is an issue because of uncertainty and at the same time one can’t stock the shelves unnecessarily. Analytics tool plays a big role here in terms of efficiency and effectiveness. Analytics had been used for a very long time in this sector but today's analytical tools are quicker, collaborative (to suppliers and customers), advance and give visual effects to the users. FusionOps is a new analytical tool which lets pharmaceuticals analyze the data at one place which was difficult earlier. It also gives users an opportunity to see different scenarios and then take final decision. This tool lets the user anticipate demands, sectors the data and meet the targets on time.

To read more, please visit the following link: http://www.cio.com/article/3063513/heres-why-analytics-is-eating-the-supply-chain.html

All new on-line communication that both consumers and retailers access on a regular basis is creating even more data for retailers to store. It is time to extract valuable information from all the existing data in order to meet customer demands, increase sales and improve business performance.

In the simple terms, predictive analytic is a technique that is used for forecasting. It uses past data like how many products were sold and at what rate? Predictive Analysis is a big help in the retail industry. It doesn't mean that the whole process has to work on automation. Human decision making (sometimes gut feeling or intuition) and software like Predictive Analytic would give even better results. Some constraints in adapting this type of analytics is that decision power is transferred to a machine. This is always a difficulty because downsizing or resistance can also be a result. Analytics work on big data; which is difficult, expensive and can fluctuate.

To read more:http://www.in.techradar.com/news/world-of-tech/What-is-predictive-analytics-ndash-and-should-we-fear-it/articleshow/51945739.cms

Nowadays, cloud and mobile technologies are providing enterprises with chances to utilize big data and analytics to take better decisions. Cloud computing helps companies to combine information from all sources. The advantages that cloud technology provides over on premise data analytics implementations are- 1.  Robust Data Foundation, 2. Fast Time to Value, 3. Improved Collaboration, 4. Quicker Adoption, 5. Scalability and Elasticity, and 6. Lower Total Cost of Ownership. For more read the article written by Ajay Khanna (Vice President, Reltio) : http://data-informed.com/why-cloud-analytics-is-better-analytics/

Organizations need databases which are needed to store data safely. Through databases one can solve problems from NoSQL and RDBMS framework to in-memory databases. This help banks to give quicker reaction times and viable examination, prompting better client experience and maintenance. Utilizing a center layer on top of various databases, banks can rapidly assemble information. For more read the article written by Nanda Kumar(CEO, SunTec Business Solution) : https://www.finextra.com/blogposting/12478/making-data-work-for-banks

Intelligent automation can make a crossover IT environment. It is enhanced continuously. It decreases bottlenecks and kills the requirement for manual mediation. It can also screen SLAs through changing occupation needs and cordoning off servers so that vital work processes can be executed. Intelligent automation additionally makes it conceivable to rearrange IT administration by building connections between apparatuses. Read more at: http://www.networkworld.com/article/3060616/cloud-computing/how-to-use-intelligent-automation-to-drive-better-cloud-resource-management.html

One of the major difficulties for organizations is the accumulation of data.  According to a research, it was found that only 1% of all apps use prescriptive analytics. This number is set to rise by 2018 to 50%. Organizations need to have high quality, rich insights into their data usage and is important for forecasting, tracking physical and performance capacity. This is where predictive analytics plays an important part; allow real time feedback, provide advantage of tools for capacity and performance planning, lower the cost of ownership, and improve the quality of support services. For more read the article written by Tim Jones (Technical Specialist) : http://www.mis-asia.com/blogs/blogs/predicting-your-storage-capacity-with-analytics/

At the point when we plan the memory subsystem, we consider the design of human brains. So in some ways people aren't an incredible model for an analytic framework, and that is why current-day information researchers overlook the way our memory framework works. Designing the memory subsystem for an advanced analytics solution, we have to consider the engineering of our brains. The layer that we put on our operational data can be simple. We could put in an all-out operational systematic layer for transient choices taking into account current information. It needs time to see how our brains store and recover information and utilize that data as a model for creating the next logical framework. For more read the article written by John Weathington (author) : http://www.techrepublic.com/article/get-smarter-about-analytics-by-studying-memory-design/