It was the Monday morning when Sonu Nigam, the prominent Bollywood singer tweeted his displeasure for the use of loudspeakers at religious places for prayers. And as per routine we Indians jumped in and divided the discussion on religious lines. Twitter exploded, with many came in support where as many others took offence and branded him as anti-Muslim. One of the Muslim clerics from Kolkata took this controversy to the height of stupidity and announced a reward of rupee 10 lakh for anyone who shaves the head of Sonu Nigam and garlands him with old shoes. It’s a matter of serious concern that Fatwas are becoming more common than corruption in India! Sonu Nigam, master in his field gave the most epic reply, shaved his head and asked cleric to give Rs 10 lakh to his Muslim barber. The response from cleric is still to come but hope he learned his lesson. But as the drama continued, the main issue lagged behind and hypocrisies surrounded the debate. The basic question was how logical is this to disturb someone’s morning sleep on the name of religion? Be it Azaan in mosque, Ardas in gurudwara or Aarti in temples. We Indians are little lazy about acknowledging the impact of pollution. We kept on polluting Ganga until it became impossible to recognize and then launched a multi crore scheme to clean her. We kept on polluting the air and then suddenly blamed government for its inactiveness when Delhi chocked. But we are still to acknowledge the psychological impact of noise pollution. We claim to be Indian first but deep down our heart most of us are more of Hindus or Muslims or anything else but Indian. Most of us still respect our Geeta or Koran, more than we respect our constitution. You don’t believe me? So let me tell you what constitution has to say about the use of loud speakers. The Division Bench of Justice Abhay Oka and Justice A.A. Sayed of Bombay High court on 16th of August, 2016 said, ‘Religious places could use loudspeakers only with prior permission’. The court, hearing the petitions and PILs on the rising noise pollution in the city, in its order said that Rule 5 of Noise Pollution Rule is Constitutional and state has to abide by it. The Rule says loudspeakers or public address system shall not be used except on obtaining written permission from the concerned authority. The Rule also says that except indoors; auditoria, conference rooms, community halls and banquet halls, a loudspeaker or a public address system shall not be used at night i.e. from 10pm to 6am! The court further said non-compliance with these rules would attract an imprisonment of 5 years and a fine up to Rs. 1 lakh. Now, we witness such rules violated on daily basis and we choose to ignore it. But one day, out of utter frustration somebody pointed it out and calls it ‘dadagiri’ and we lost our cool! Seriously! Where is Sonu Nigam wrong? For pointing out something illegal? C’mon India, you can do better! Please go through the facts before getting divided on the ground of religion and play in the hand of few.
When you're composing your resume you need to awe employing directors and get chosen for a meeting, so you have to do all that you can to guarantee it emerges from the group. Here are five ways to make your resume stand out from the competition. Respond Directly to the Job Description Procuring supervisors have particular thoughts regarding what aptitudes and encounters hopefuls need to do well in open positions and your resume should reflect the depiction they've incorporated into their postings or promotions, says Mark Slack, a vocation counsel at Resume Genius. "In an ocean of tasteless applicants, the most enamoring resume is the one that appears to coordinate the majority of their prerequisites, including fundamental specialized aptitudes, work encounters, and degrees, affirmations, or licenses," he says. "In the event that your past work encounter is not pertinent to the job depiction, you should get imaginative and outline your present range of abilities as being transferable into another part." Describe Accomplishments, Not Responsibilities Joseph Terach, CEO of Resume Deli, gives the case of a pizza conveyance individual: It's insufficient to state you convey pizzas since that is what you should do. "The inquiry is: would you say you are great at it? Or, on the other hand, did you convey pizzas late, cool and in a smashed box to the wrong address?" Rather than disgorging your job portrayal, concentrate on the achievements you've made while satisfying that depiction. Portray the ways you've exceeded expectations in your calling and have gone well beyond. Quantify Your Accomplishments "There's no better approach to portray your achievements than with frosty hard numbers," says Slack. For example: "What amount of item did you offer month to month? What amount of cash did you spare your organization because of your endeavors? What was the measure of the spending you have overseen? What number of individuals did you prepare or oversee?" Putting a number on the work you do gives contracting supervisors a thought how you may fit into an association. "On the off chance that you can measure any of your job portrayals, do as such," he says. "It will give the procuring supervisor a much clearer picture of your aptitudes and capacities, and certainly enable you to get the short rundown for a meeting." Use the Summary Section for Distinguishing Details On the off chance that you incorporate an outline articulation on your resume, recollect it possesses the most important spot - up front, Terach says. "Such a large number of job-searchers squander it on self-descriptors, for example, "imaginative," 'results-driven' and 'phenomenal communicator,'" he says. "Learn to expect the unexpected. In the event that you have to mark yourself a superb communicator, at that point, you're presumably not one." Instead, drop the generics and utilize the outline segment to give subtle elements of your accomplishments. Ignore Irrelevant Information Comprehending what to leave off your resume can be as vital as realizing what to put on it. You may believe it's a smart thought to incorporate however much information as could reasonably be expected to cushion a weaker resume, yet this approach can blowback. Counting unimportant jobs or incidental achievements from important jobs tells your potential boss that you don't comprehend what they're searching for, Terach says. "Try not to make your objective peruser angle through a bundle of commotion keeping in mind the end goal to discover what's truly essential to her since she won't. She'll expect that you don't get it, and proceed on
Technology has been a massive shift forward from the last few decades. From a time when one had to wait months for a letter, we have reached the era when everyone can connect with anyone, anywhere, anytime! Where there were no televisions, now we have televisions which work wirelessly. Technology has upgraded itself from being spacious to portable and being extra big to pocket size. Some of the greatest gadgets of the current time are listed below: 1. Amazon Echo It is a one-of-a-kind device with some extraordinary features. This device could respond to every sentence of yours, very politely and sincerely. Getting bored? Ask the Echo to tell a joke. Within no time, it’ll serve all your needs. The ravishing design of the Amazon Echo is just like a round bottle of your talcum powder. 2. Xbox One S A totally new definition in the world of gaming. It's smaller it's prettier, and it's got a new gamepad. The graphics defined by the developers are Olympian. Microsoft has always come up with something new, starting from Xbox 360 to Xbox One S. 3. Apple iPhone 7 Apple has been an all-rounder in the tech companies. It has faced an upliftment which led to the touching of the sky. Its evolution from iPhone 3GS to iPhone 6s has been terrific. And now iPhone 7 is a total game changer. With sleek designs, ultimate features, and the stunning colors, this multinational technology company never fails to amaze us! 4. Reliance Jio One of the most rapidly growing ventures in India, the Reliance Jio has been a very tough competition to existing telecom firms. Jio is a 4G LTE mobile network operator in India. The launch of Jio was a game changer for all the telecom companies. The unmatched 4G network and unlimited voice calling with the lowest data rate globally attracted more than 100 million people across the country. With the technology reaching new heights with each passing day, the day when we have solutions to every tech related problem isn't far.
A Definition of Big Data Big Data is everywhere. But, do you really know what it is and how it can help your business? SAS perfectly captures Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” But, as SAS points out, the amount of data is not as important as what organizations do with it: analyzing Big Data results in the insights you need to make better business decisions and strategic moves. Lisa Arthur, Teradata Applications CMO and Forbes contributor, explains that Big Data “is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis.” She asserts that traditional data must be included in Big Data because it is an important piece of the Big Data picture. Indeed, incorporating data from all sources is key to optimizing the insights gained with Big Data. In recent years, there has been a boom in Big Data because of the growth of social, mobile, cloud, and multi-media computing. We now have unprecedented amounts of data, and it is up to organizations to harness the data in order to extract useful, actionable insights. But, because traditional systems cannot store, process, and analyze massive amounts of unstructured data, organizations are turning to Big Data management solutions to turn unstructured data into the actionable data needed for gaining key insights into their business and customers. Benefits of Using Big Data Analytics As the volume of data continues to grow, its potential for business seems to be growing exponentially as Big Data management solutions evolve allowing companies to turn raw data into relevant trends, predictions, and projections with unprecedented accuracy. Companies that use comprehensive Big Data analytics solutions reap the benefits, gaining even more insights that drive intelligent decision-making. Some of the benefits of Big Data analytics include… Identifying the root causes of failures and issues in real time Fully understanding the potential of data-driven marketing Generating customer offers based on their buying habits Improving customer engagement and increasing customer loyalty Reevaluating risk portfolios quickly Personalizing the customer experience Adding value to online and offline customer interactions Advantages of Big Data Management Solutions The best Big Data management solutions give companies the ability to aggregate a variety of data from hundreds of sources in real time. This results in better customer engagement through more effective inbound interactions and marketing programs, which ultimately leads to greater customer lifetime value. Big Data analytics powered by advanced Big Data management solutions gives organizations comprehensive customer profiles, enabling the delivery of more personalized customer experiences at every touchpoint throughout the buyer’s journey. And, these top Big Data management solutions eliminate data silos so that organizations get a single, 360-degree customer view that includes countless descriptive, calculated, and industry-specific metrics for building detailed records of individual customer’s behavior. These profiles, or what NGDATA calls “customer DNA,” give organizations a comprehensive understanding of their customers through deep customer insights and operationalized analytics, which allow for omni-channel impact. Big Data may seem daunting, but with the right Big Data management solution, your organization can tackle the data you need to get actionable insights and increase your customer lifetime value.
I still search for you in the world full of people in the empty fields and the darky clouds. The search in the city lights and the passing cars, on the windy road, with the shiny stars. Caption I need you there, I need you now but I wonder where you could be now, for many of the years I've not said your name with a melodious way and loud out. And so longer since I called you mine, time has passed for you and I I have learnt to live without you I don't mind if you'll still be mine , as I'll still love you anyhow.
A Definition of Data Analysis Data analysis is a primary component of data mining and Business Intelligence (BI) and is key to gaining the insight that drives business decisions. Organizations and enterprises analyze data from a multitude of sources using Big Data management solutions and customer experience management solutions that utilize data analysis to transform data into actionable insights. Dennis Junk, a HubSpot certified inbound marketer with Aptera, aptly explains data analysis in his blog post: data analysis is “all the ways you can break down the data, assess trends over time, and compare one sector or measurement to another. It can also include the various ways the data is visualized to make the trends and relationships intuitive at a glance.” Data analysis involves asking questions about what happened, what is happening, and what will happen (predictive analytics). As Junk puts it, “analytics is generally the data crunching, question-answering phase leading up to the decision-making phase in the overall Business Intelligence process.” Data Analysis Model Gwen Shapira, a solutions architect at Cloudera and an Oracle ACE Director, outlines seven key steps of data analysisfor Oracle’s Profit magazine. Shapira explains that while each company has its own data requirements and goals, there are seven steps that remain consistent across organizations and their data analysis processes: Decide on the objectives – Determine objectives for data science teams to develop a quantifiable way to determine whether the business is progressing toward its goals; identify metrics or performance indicators early Identify business levers – Identify goals, metrics, and levers early in data analysis projects to give scope and focus to data analysis; this means the business should be willing to make changes to improve its key metrics and reach its goals as well Data collection – Gather as much data from diverse sources as possible in order to build better models and gain more actionable insights Data cleaning – Improve data quality to generate the right results and avoid making incorrect conclusions; automate the process but involve employees to oversee the data cleaning and ensure accuracy Grow a data science team – Include on your science team individuals with advanced degrees in statistics who will focus on data modeling and predictions, as well as infrastructure engineers, software developers, and ETL experts; then, give the team the large-scale data analysis platforms they need to automate data collection and analysis Optimize and repeat – Perfect your data analysis model so you can repeat the process to generate accurate predictions, reach goals, and monitor and report consistently Benefits and Challenges of Data Analysis Data analysis is a proven way for organizations and enterprises to gain the information they need to make better decisions, serve their customers, and increase productivity and revenue. The benefits of data analysis are almost too numerous to count, and some of the most rewarding benefits include getting the right information for your business, getting more value out of IT departments, creating more effective marketing campaigns, gaining a better understanding of customers, and so on. But, there is so much data available today that data analysis is a challenge. Namely, handling and presenting all of the data are two of the most challenging aspects of data analysis. Traditional architectures and infrastructures are not able to handle the sheer amount of data that is being generated today, and decision makers find it takes longer than anticipated to get actionable insight from the data. Fortunately, data management solutions and customer experience management solutions give enterprises the ability to listen to customer interactions, learn from behavior and contextual information, create more effective actionable insights, and execute more intelligently on insights in order to optimize and engage targets and improve business practices.
I walked the lonely path With no sound and no cart. I walked the eerie night With no man and no light. I walked the wobbly faith With no hope and no strength. I walked the sinful cage With no sight and no rage. I walked the swampy ground With no hold and no help around. I walked the dead life With no mercy and no strive. I walked the frozen time With no end and no rhyme. I walked the empty heart With no blood and no beat. I walked the roaring storm With no past and no future. I walked all along, The dark for so long That I was scared to see Even the rustle inside me. The looming scary fog Had muffled the once roaring part And latched it away, away from my heart. But suddenly I stumbled And heard one rumbled. Infront I looked And the side I searched But not finding one Made my fear worse. No courage had I had To turn and look back, But with the last ounce of flowing red, I managed to behold the one behind my head And there stood I, drapped in the robes Of humanity and hope, My streched hands glowed And out came the light that told, " You are welcomed back."
Definition of Data-Driven Marketing Data-driven marketing is the process by which marketers glean insights and trends by analyzing company-generated or market data, then translating these insights into actionable decisions informed by the numbers. The goal of data-driven marketing is to optimize marketing processes and strategies to cater to changing trends and the unique demands of audiences and consumers by leveraging data to gain deeper insight into what customers want. When brands fully understand the who, what, where, when and why of how consumers are engaging with their marketing efforts, they are able to make better decisions surrounding everything from the timing of advertising in a given medium to the customization of marketing copy to cater to specific audience segments. How Data-Driven Marketing Works The process of data-driven marketing relies on the use of information (in the form of data) in order to drive marketing efforts. Data is collected on every aspect of a user’s engagement from demographics to market-wide metrics and individual interactions, and is then analyzed in order to determine markers of success. These insights are then used to help decide where and how to focus marketing resources, the types of creative that are most effective at maximizing ROI, which customers are most likely to churn, and many other crucial details that can aid marketers in shaping brand growth. Data-driven marketing is gaining in popularity in large part due to its proven ability to maximize ROI. It also helps to maximize the efficiency of marketing efforts by reducing wasteful spend and improving resource allocation, and ultimately empowers brands to deliver a more customer-centric approach to marketing. Gaining a better understanding of a brand’s prospects and their preferences is one of the most effective methods for increasing conversion rates. Examples of Data-Driven Marketing There are thousands of examples of data-driven marketing in use every day if you know where to look. In fact, the majority of the marketing messages we’re exposed to on any given day are driven by data-derived insights. Data-driven marketing has become the new norm thanks to the widespread accessibility of data and analytics tools. One company that has used data-driven marketing to its advantage is Hootsuite. When they noticed both free and paid signups were dropping off, they looked deep into their data pool to determine the features different segments of their user base were relying on most. They then utilized this data to create different usage tiers for the service based on what their customers were actually using the product for. The result? An increase in both free and paid service signups. Another example of successful data-driven marketing in action is Status Page. This company used data to increase conversion rates by 311%. After identifying which stage in the process prospects were being lost, and why, they implemented site changes to make the signup process more appealing and saw tremendous success as a result. Of course, these are just two of the many examples of businesses successfully leveraging data-driven marketing to influence results. Benefits of Data-Driven Marketing Data-driven marketing offers widespread benefits, including not only effectiveness but also ease of implementation thanks to the availability of user-friendly tools that do much of the heavy analytics lifting. Many marketers turn to data-driven marketing to improve audience targeting. With the right data, brands can know exactly who is engaging with their marketing efforts through which channels, and even at what time of day they are active. This can aid brands in laser-focusing their marketing efforts to the right mediums at the most effective times. Data-driven marketing also allows marketers to analyze the types of messaging and offers that consumers are most responsive to, often analyzed through A/B testing. This lets marketers focus their efforts into projects that will offer superior ROI and are of the highest value to the consumer. Conversely, it also allows marketing teams to see where they may be going wrong and how to correct the issue — as with the above example from Status Page. Data-driven marketing can also be used to optimize customer experience. If a marketer sees a bounce rate at a certain point of their campaign, they can evaluate the why and adjust as necessary so that the customer experience is optimized. This is the kind of initiative that has a powerful impact on growth and retention. Challenges of Data-Driven Marketing One of the biggest cons of data-driven marketing is also its biggest advantage — the intense focus on using insights in the decision-making process. This hyperfocus on using data to make marketing decisions can come at the expense of creativity, depending on how marketers choose to leverage data-derived insights. When metrics tunnel vision takes over, creativity is no longer driving the message and the ‘magic’ of connecting with consumers no longer happens. Savvy marketers implement the right blend of creativity and numbers-driven factors into every marketing campaign and tactic. Additionally, data can also indicate a course of action that goes against a brand’s values. While this is rare, marketers should maintain a sense of brand integrity and use data to inform, but not dictate, decision-making when it comes to sacrificing values. Brand guidelines are helpful to ensure that brand identity standards and values are maintained. Best Practices for Data-Driven Marketing The key to obtaining success with data-driven marketing efforts is to plan, test, analyze, iterate, and then redeploy and scale accordingly once you’ve gleaned enough insights to inform your course of action. Decide what you’re measuring and how you’ll be successful. Utilize A/B testing and other measures in order to see what works best and then compare results to your original KPIs. Then, implement and invest accordingly, taking care to analyze new data and adjusting your marketing efforts continuously. Data drives the majority of marketing decisions in today’s highly competitive world. If you’re not yet using data to derive marketing insights and inform decision-making, you’re already behind the curve.