Aboriginal studies Essay Example | Topics and Well Written Essays - 1750 words

Aboriginal studies - Essay Example Anon (no date) racismnoway.com [online search portal] Accessed online May 06, 2008 at: http://searchportal.information.com/index.mas?epl=00860032VFAXVE0DWlgVVRBeVwMAFQVbC1YKW1kADFAISllXWBZYWg1PWBwdVw5dRAZADBJDDkRbWAVTEQA_XFEFDgMIUQ An online search portal for issues and resources connected to racism. The site is appropriate for supervised use for older or advanced students. It is heavily text-based, so is less appropriate for indigenous students than non-indigenous students. Board of Studies NSW (2007) Affirmations of Identity: Aboriginal and Torres Strait Islander Visual Artists Resource Kit - Teacher’s Handbook. Retrieved May 06, 2008, from: http://ab‑ed.boardofstudies.nsw.edu.au/go/aboriginal‑art/affirmations‑of‑identity#gallery Contents cover eight new units of workdesigned to cover the NSW Visual Arts Years 7‑10 Syllabus (2003). â€Å"These units provide opportunities for students to study a range of artworks made by Indigenous artists using traditional and contemporary practices, and to investigate how ideas and interests are represented in artmaking and in critical and historical interpretations art.† The units are appropriate for both indigenous and non-indigenous learners. The role of art in the traditional culture of Aboriginal and Torres Strait Islander peoples is highlighted. This resource can also be used for cross-subject units such as geography and visual art. Board of Studies NSW (2007) Affirmations of Identity: Aboriginal and Torres Strait Islander Visual Artists Resource Kit - References and further reading on contemporary Indigenous art in Australia. Retrieved May 06, 2008, from: http://ab‑ed.boardofstudies.nsw.edu.au/go/aboriginal‑art/affirmations‑of‑identity#gallery The bibliography contains information on a wide variety of resources for teachers of year 6-12 visual art and aboriginal studies. Resources are listed by format and include: syllabuses and support documents, government reports, educational

Creative Writing “Into the Darkness” Essay Example for Free

Creative Writing â€Å"Into the Darkness† Essay It had just turned night when Victoria heard the thunder roll in, and the lightening strike against the ground. This worried her for she was afraid of losing power. As the night grew on the storm worsened. Making sure she wasnt forgetting her laptop, Victoria made her way upstairs to the comforts of her bedroom. She decided this would be the perfect opportunity to take advantage of her time and watch the latest shows Netflix had to offer. Settling into her bed with her laptop in hand Victoria reached over to plug her charger in. Just as she did so, the power went out. Startled by the sudden darkness, she reached under her bed for her flashlight. Grasping her flashlight tightly, Victoria headed back downstairs to see what may have caused the power to go out. As Victoria went downstairs she noticed her porch door was ajar. Cautiously she approached the door and peered outside to see who or what may have opened the door. Nothing seemed to be around. Certain that the storm had simply blown out the power, Victoria poured herself a glass of hot chocolate and returned upstairs. Something seemed different to Victoria, but she was unsure of what exactly. Much to her dismay her beloved laptop was missing. Appalled by this discovery, Victoria quickly became worried that someone may be in the house with her. Using her survival instincts she quickly grabbed the flashlight and headed out into the hallway, if someone was in the house with her laptop, Victoria was determined to catch them and get her laptop back. Shaky and nervous she slowly peered out into the hallway, no one was to be found. Once at the stairs she swiftly tumbled down them, only missing a few steps at the bottom, but redeeming herself with style. The power had yet to return, and the only thing Victoria had with her was a flashlight. Determined she would catch the culprit and get her laptop back, she sprang across the room and swung the bathroom door open. Still she found no one. Next she opened the closet, then her office, and finally the last room she had left to check was the basement. Victoria clenched onto the flashlight and slowly turned the nob and entered the dark stairwell leading to the basement. Taking each step one at a time, until she got to the final one. When she glanced around the corner Victoria could see someone standing there. She couldn’t make out the face for it was too dark, and her flashlight was dimming by the second. Victoria slowly inched towards the dark figure, getting closer and closer, until finally she was close enough. Just as she reached out to grab onto the dark figure, she dropped the flashlight. All hopes of seeing who they were went away as soon as Victoria’s flashlight hit the floor. The dark figure quickly turned around tightly grasping the laptop. Victoria got struck in the face by her own laptop, and was knocked onto the ground. When she awoke the power had returned, and the storm had stopped. As Victoria got up off the floors she quickly glanced to around to see if anyone was around. There was nobody to be found, and her laptop was gone.

Description of a participatory action oriented course

Description of a participatory action oriented course PROGRAMME DESCRIPTION OF A PARTICIPATORY ACTION-ORIENTED PAOT COURSE Background We will be conducting a PAOT on work improvement in small enterprises (WISE) course over a one week period. The PAOT course is not a formal lecture, is interactive and participant centred. It is recognised that SMEs contribute significantly to the national economy and that they are huge employers. It is also recognised that however, they do not always have a preventive or safety culture. They do not employ OSH practitioners nor do the employees and employers alike receive formal OSH training. Hence the implementation of the WISE programme as one of the PAOT methodologies, whose aim is to improve working conditions/OSH in the workplace and productivity using simple, effective and affordable techniques that provide benefits to owners/employers, workers and the community. Facilitators will do preliminary work, send invitations to identified participants. Other significant persons will be also invited as the programme will detail. Target group and participants Two facilitators will provide guidance and steer the programme. Invitations will be extended to 30 participants drawn from the local informal small to medium scale enterprises. These will consist of largely the employees or owners who do day to day work and including their supervisors, managers or owners who do supervisory or managerial work. Invited important observers will include two members of the community local leadership, one official from The Ministry of Public Service, Labour and Social Welfare and one representative from the financial sponsor of material: ILO, Zimbabwe Decent Work Programme General and specific objectives General objective: Make participants become aware that investment in low cost permanent simple improvements results in more satisfied and productive workers, more satisfied mangers who, together with the workers, will ensure efficient safe workplaces, leading ultimately to a more successful sustainable business. Specific objectives (for the participants) Learn application of the checklist for the purpose of selecting priority workplace improvements in their SMEs in the local setting for, materials storage and handling, workstation, machine safety, control of dangerous substances, lighting, welfare facilities, industrial facilities and work organisation. Identify and focus on commonly encountered working conditions problems in the above mentioned areas. Point out the local and commonly available simple low cost workplace improvements for the identified problems. Link better working conditions to better productivity. Course outline and contents Dates:29 December 2014 to 2 January 2015 (five days) Venue: Local Community Hall Site Visit: A walking distance from the Hall, an SME that is into furniture making Facilitators:Dr B. Ziki and Mr D. Moyo Participants: 30 (split into 5 groups of six individuals) Course content: Will include the history of PAOT, concept of PAOT, its advantages, the WISE methodology, scope for improvement and emphasis on the tapping of local wisdom for low cost sustainable workplace improvements in the SMEs. Day 1 to 5: Will be guided by the above course content. Activities will include: The opening ceremony, introductions, orientation, workplace visit, checklist exercise, group discussion of checklist results, presentation of group results, technical sessions – one or two a day, implementation of improvements with an action plan, workshop evaluation and closing. Methodology Facilitators will do preliminary work, visiting SMEs, finding and taking pictures of good examples to be used for discussion. A spacious venue where island sitting (round table) arrangement is possible is chosen. It must also be near the visit site On the first day after the opening ceremony, the course outline is presented and soon after there will be a site visit to a chose workplace. The 30 participants are split into five groups of six each. Each group will complete a checklist. A spokesperson is chosen and after discussions, he or she will point out important observations and low cost sustainable suggestions for improvement. No negative criticism is allowed. A different aspect of the WISE programme is tackled each day. Facilitator gives an outline of the topic for discussion and provides good examples and allows participants to discuss on the topic. Last will be implementation of improvements with an action plan, workshop evaluation and closing of the workshop. Timetable Evaluation and follow-up Evaluation of the PAOT course is necessary to assess usefulness, effectiveness and areas that were good and those that need improvement. Participants are given evaluation forms which they fill in and immediately return. Feedback is given after all forms are looked at. Participants also must demonstrate assimilation of information and that they are ready to undertake self help actions to improve workplace conditions in their local settings. They are reminded to do checklists at their workplaces, identify priority areas that need improvement and draw action plans. Participants are encouraged to share experiences with each other and with their or fellow employees, as well as continue to improve even on improvements already made. They are then issued with certificates of attendance. A tentative calendar for follow-up visits by the facilitators at the participant’s workplaces is drawn up. It is recommended that this is done two to three months after the course is conducted to assess the participants self help, low cost, and local practical solutions suggested and implemented to improve working conditions. After a walk through and discussions, positive developments are praised and the discussion must stimulate the participant to remain interested in the PAOT methodology and its ideals. A small, inexpensive and clever (SIC) contest held anytime between two to twelve months is organised to show the group with the best SIC solutions to identified workplace condition/s needing priority attention. An achievement workshop can be planned for six months to a year after the PAOT course. Participants present on their achievements and sustainable improvements and the best presentation can be rewarded. References Learning modules A8.1 and 8.2 Participatory Action-Oriented Training. Ton That Khai, Tsuyoshi Kawakami and Kazutaka Kogi. 2011. An ILO publication. Roles of Participatory Action-oriented Programs in Promoting Safety and Health at Work. Safety and Health at Work. Safe Health Work 2012;3:155-65 An introduction to the WISE Program. Conditions of Work and Employment Programme. An ILO initiative.

I am Just Like Everyone Else Essay -- Personal Narrative, essay about

It's 9:38 p.m.. I guess I've put this off long enough... not that I want to sound unenthusiastic, but it just feels weird. When I looked over the prompts nothing really struck me: I really don't want to drag on about my plastic trophies, or try to convince you that I am the one student that would change your school entirely. The only thing left was to write about a hardship that I had overcome... funny thing though... I couldn't think of many hardships. I mean, a lot of things have happened to me, but most of those things, like my dad dying, were things everyone has to overcome at some point. I never had to do anything... unexpected. That brings me here sitting in front of a screen typing as Chopin plays in the background at 10:00 p.m.. I've changed a lot since my freshmen year; I've changed a lot since breakfast, but I never knew why until just a while ago. When I was a little kid, my class mates would always make fun of me. At first I thought it was because I was stupid, then I thought it was because they were stupid, but by the time I was in eighth grade I had firmly identified the reason for my social awkwardness: I was so much better than everyone else at everything that they were all jealous of me. Why not? It was true. No matter how hard they tried they could never produce answers like me... or questions. Also, I needn't bother about trying to get good grades; that wasn't my "style." Whether by Freudian compensation or an empathic teacher's comment, I began to look at other people as being slower, less farsighted than me. Their senses were dulled while mine were too acute to pay attention to little things like assignments. Entering Valhalla I looked upon the various Goths and Preps, the Ret... ...one there deserved the air I breathed as much as I did. It boggled my mind. Slowly, I began to work back. All the skills I had worked so relentlessly on to be superior were talents in their own right. My road to heaven was being paved with bad intentions. I stopped work on the moonlight sonata (Cj had always played it better than I). I began to teach myself the blues and Chopin. I didn't have to worry about being better at physics than some one. I no longer had to not take notes in class so I could prove to everyone I didn't "need" to. I had always been master to myself, but now I was slave to no man. I was just like everyone else, and that was O.K. That's about all. I can't say that I deserve to go to your school any more than the next guy. I don't really think it will change your life one iota, but I do know that it would change mine. I am Just Like Everyone Else Essay -- Personal Narrative, essay about It's 9:38 p.m.. I guess I've put this off long enough... not that I want to sound unenthusiastic, but it just feels weird. When I looked over the prompts nothing really struck me: I really don't want to drag on about my plastic trophies, or try to convince you that I am the one student that would change your school entirely. The only thing left was to write about a hardship that I had overcome... funny thing though... I couldn't think of many hardships. I mean, a lot of things have happened to me, but most of those things, like my dad dying, were things everyone has to overcome at some point. I never had to do anything... unexpected. That brings me here sitting in front of a screen typing as Chopin plays in the background at 10:00 p.m.. I've changed a lot since my freshmen year; I've changed a lot since breakfast, but I never knew why until just a while ago. When I was a little kid, my class mates would always make fun of me. At first I thought it was because I was stupid, then I thought it was because they were stupid, but by the time I was in eighth grade I had firmly identified the reason for my social awkwardness: I was so much better than everyone else at everything that they were all jealous of me. Why not? It was true. No matter how hard they tried they could never produce answers like me... or questions. Also, I needn't bother about trying to get good grades; that wasn't my "style." Whether by Freudian compensation or an empathic teacher's comment, I began to look at other people as being slower, less farsighted than me. Their senses were dulled while mine were too acute to pay attention to little things like assignments. Entering Valhalla I looked upon the various Goths and Preps, the Ret... ...one there deserved the air I breathed as much as I did. It boggled my mind. Slowly, I began to work back. All the skills I had worked so relentlessly on to be superior were talents in their own right. My road to heaven was being paved with bad intentions. I stopped work on the moonlight sonata (Cj had always played it better than I). I began to teach myself the blues and Chopin. I didn't have to worry about being better at physics than some one. I no longer had to not take notes in class so I could prove to everyone I didn't "need" to. I had always been master to myself, but now I was slave to no man. I was just like everyone else, and that was O.K. That's about all. I can't say that I deserve to go to your school any more than the next guy. I don't really think it will change your life one iota, but I do know that it would change mine.

Community: Police and Good Schools Essay

If you were to close your eyes and think about your ideal place to live, what would come to mind? For some of us, it would be a condo on a beach where it was warm all year long. For others, it would be living in the mountains or on several acres out in the country near a small town, but what things would you need to feel secure and happy? It has become necessary to create an ideal community since people first started to settle down. There were several issues that people put importance on to achieve such a community, such as good schools, police protection, appearance of neighborhood and public transportation. I believe that police protection and good schools are the main factors to create an ideal community. First, police protection is a major part in a community they provide security and welfare to people. As the rate of crimes is increasing day by day, people are becoming to feel more insecure and less safe. When there is more crime, then more people have the fear of being harmed and that creates a large number of withdrawn individuals. Therefore, this situation affects the well being of the community in the negative way. As it is claimed that the appearance of neighborhood is essential to create and ideal community, I believe that the security of people is essential for the appearance of neighborhood. Security and appearance are connected because having good security allows the people feel like things can be good, which makes the people of the neighborhood want to make things look as beautiful as they can make it. Security can help create the ideal community because it brings the warm feeling of safeness. Second, if there are good schools, the less ignorance will exist in a community. In my opinion ignorance is one of the major barriers in front of the development of individuals. Good schools create well informed and sophisticated individuals and by the help of people like that a community has a better chance to provide solutions to its main issues such as technologic and economic development. Therefore, good schools should be provided in order to avoid problems in a community and to create individuals who will take part to create an ideal community. In conclusion, there is more need for people to create an ideal community, I believe that good schools and police protection are the main needs should be provided. When there is more secure and knowledgeable people in a community, then there is more chance for that community to solve other problems and take a step in order to become an ideal community.

Predicitve Analytics

A secondary research paper on Predictive analytics; which is a mix of tools and techniques that support organizations to identify probability in data that can be used find out the future outcomes. The scope this study Is to identify the potential of predictive analytics to leverage advertising, marketing campaign and business development Initiatives thereby understanding the customer behavior. Customer preferences, change, attitudes, purchase behaviors and attaining a high degree of inference in their decisions about what to do differently for each segment, as potential moves have been â€Å"pre-tested. † effective Marketing Satellites + Higher Conversions = More Revenue = Growth & Success! In a tough competitive global marketplace, to have desired return on the marketing initiatives bib organizations are looking forward to have new avenues which could help them to make a better understand about their customer preferences, change, attitudes, purchase behaviors.Earlier the rese arch was archeological, looking at past customer choices and behavior. With the advent f a third-generation approach called predictive segmentation; BIB markets are able to resolve the challenges and take a competitive advantage. It Is a mix of tools and find out the future outcomes. It helps to tune insights about exactly which elements of the service or product offer actually drive customer behavior and thereby giving a high degree of confidence in their decisions about what to do differently for each segment, because potential moves have been â€Å"pre-tested. Predictive analytics technology Incorporates data collection, statistics, modeling and deployment capabilities, and drives the entire segmentation process, room gathering customer information at every interaction to analyzing the data and providing specific, real-time recommendations on the best action to take at a particular time, with a particular customer. The result is more effective customer relationship management st rategies, including advertising and marketing campaigns; upsets and cross-sell Annihilates; and long-term customer loyalty, retention and rewards programs.Current market situation Most BIB companies which tries to get deeper customer understanding and move segmentation beyond traditional way using selects from Industry, size, anemographic views of customers Is not reaching up to the standard. In a top business marketers in the United States, themes pressing concern identified by respondents was â€Å"finding a better way to expand understanding's their customer needs, market segments, and the key drivers of customer value. Companies which have traditionally relied on technological innovation to attain competitive advantage have come to realize that new technology or new product features are not good enough to attract more customers or increase revenues from existing customers. Major challenges 1 . Sales cycles are long and complex offerings. 2. Competitor's offerings and strategies shift so quickly that managers cannot reliably compare the impact of changes in a given marketing 3.Customer relationship management systems cannot easily capture the decisions and actions that led to success or failure with any particular account, because such information is largely anecdotal, not quantitative. The following table represents some examples of the types of challenges solved by predictive marketing for different types of digital marketers: Benefits or Strategic objectives Attained through Predictive Analysis The predictive approach not only produces forward-looking segments; it also gives users a high degree of confidence in their decisions about what to do differently for each segment.By scientifically testing how customers might respond to future offerings, channels, and pricing; companies know how to reach the right customer with the right offer at the right time, through the right channel. 1. Compete – Secure the Most Powerful and Unique Competitive Strong hold A predictive model distinguishes the micro segments of customers who choose your company from those who defer or defect to a competitor. In this way, your organization identifies exactly where your competitor falls short, its weakness. 2.Grow – Increase Sales and Retain Customers Competitively Each customer is scored for their behaviors like purchases, responses, churn and clicks. These scores drive the enterprise operations across marketing, sales, and customer and help the organization to have competitive advantage Aberdeen group in August 2011 (Predictive Analytics for Sales and Marketing: Seeing Around Corners) found that companies using predictive analytics enjoyed a 75% higher click through rate and a 73% higher sales lift than companies that did not SE this technology. Figure below shows the details of the research conducted among 160 test audiences. Source from:- Aberdeen group in August 2011 -Predictive Analytics for Sales and Marketing: Seeing Around Corners) r anking transactions with a predictive model dramatically boosts fraud detection. 4. Improve – Advance Your Core Business Capacity Competitively Whether offering a service or a product, enterprise's central function is to produce and deliver with increasing effectiveness and efficiency. By way of greater efficiency would be able to overproduces/services at cheaper prices. . Satisfy – Meet Today's Escalating Consumer Expectations By offering very targeted offers that have more probability of acceptance.Companies are able to accomplish their marketing objectives and set the customer expectation without increasing their marketing staff or budget. Business application of predictive analytics Most of the organization applies predictive analytics to automate operational decisions, across marketing, sales areas and beyond. Choosing the business application of predictive analytics depends on strategic question or type of decision companies choose to automate. Companies run vari ety of campaigns to accomplish specific goals, such as acquisition, cross-selling, and retention.Predictive analytics creates a range of models, parallel to their business application; table below shows some of the business application and the predictions that companies look forward. Business application: Predictions Customer retention customer defection/churn/attrition Direct marketing customer response Product recommendations what each customer wants/likes Behavior-based advertising which ad customer will click on Email targeting which message customer will respond to Credit scoring debtor risk Insurance pricing and selection applicant response, insured risk Supply chain optimization 1 .Supply chain visibility and cost to serve 2. Demand forecasting Optimization 3. Network optimization: is about analyzing total cost of ownership of a company's supply chain network. 4. Predictive asset maintenance: improving up times, performance and availability of manufacturing assets by predicti ng when maintenance or when a new part is required in order to avoid unplanned down time. 5. Spend analytics: understanding how much a company is spending on different recruitment categories, with which suppliers, and how a company can optimize their spending across all those categories. Invitational campaign approach In traditional campaign approach markets typically use a few basic selections to identify customer behavior while creating a campaign. It was mainly based on internal company processes, rather than focusing on the needs and preferences of its customers. Response to these types of conventional campaigns is generally low often less than one or two percent. Optimizing campaigns with Predetermination In order to optimize marketing campaigns, companies need to be able to answer the four crucial questions like Who should I contact?What should I offer? When should I make the offer? How should I make the offer? Predictive Marketing enables marketers to find the answers quickly , and to create and execute campaigns around this simple but effective process. First, marketing analysts create predictive models; as we have discussed earlier creating models depends on the business application or strategic question in hand companies. These models helps to efficiently find appropriate customers and discover the best timing,channel, and message for each customer.Then, arresters add business information such as contact restrictions, budget guidelines, and campaign objectives. Before sending the campaigns, they verify the projected size and cost of each campaign, as well as the expected response and revenue on each campaign. Finally, the marketers execute the approved campaigns. Select the right audience Using the model campaigner decides the right customer segments to send out the campaign; deciding the target segment using the model typically reduces campaign costs by 25 to 40 percent, while maintaining or even increasing response rate. Select the right channelAt t his stage of the campaign process, marketers determine how best to contact each customer. By using each customer's preferred channel, (based on channel preferences and predicted response) companies increase response rates. Select the right time Consumers today have many choices for meeting their needs. That's why it's critical to reach customers in a timely manner when their behavior indicates an unmet need or a risk of defection or attrition. Predictive Marketing continually scans customer databases for Just such events, and triggers specific campaigns when a need or risk is detected.Some companies increase the frequency of campaigns to improve the chances of reaching customers at an ideal time. These campaigns target fewer customers, but the customers they do target have a high likelihood of response. When the campaigns are finished, they use Predictive Marketing to compare actual results to the projections, and incorporate information that can improve the effectiveness of future campaigns. This process is accomplished in Predictive Marketing two main modules, the Analytic Center and the Interaction Center anticipate the needs and preferences of individual customers.The Interaction Center s used to create, optimize, and execute campaigns based on the customer needs predicted by models created in the Analytic Center. Together, the Analytic Center and the Interaction center enable companies to answer the â€Å"who, what, when, and how' of successful campaign marketing. Marketing analysts create predictive models of customer behaviors and preferences in the Analytic Center. The models are then used by marketers to create and optimize campaigns in the Interaction Center. New interaction data is sent back to the Analytic Center to refine and enhance the predictive models. Select the right offerWhen companies increase the number of campaigns they run, they risk alienating their customers by overloading them with offers. Conventional campaign management tools are not designed to address the potential overlap. Predictive Marketing, however, reduces this risk through a comprehensive campaign optimization process. Predictive Marketing evaluates all of the available campaigns and selects the one that best balances the customer's likelihood to respond with the profit potential of the campaigns. It also takes into account suppressions and contact restrictions, such as â€Å"do not call† or â€Å"do not contact more Han once every two months. This customer focus, combined with the ability to optimize campaigns around restrictions and preferences, has enabled companies to report a profit increase of between 25 and 50 percent. As companies transition from large, unfocused marketing campaigns to highly targeted, event- based campaigns across multiple channels, their marketing departments go through several stages Predictive Marketing enables companies to run more effective campaigns at each stage of the transition. Stage 1: Right customer 2: R ight channel 3: Right time 4: Right offer 1 . ObjectiveSelect the targeted customers For each campaign Select the best channel for each customer Contact each customer at right time Select the best offers for each customer 2. Enabling technology Predictive analytics Channel optimization Event marketing Campaign optimization 3. Strategy Predict who is likely to respond to a campaign and balance that information with against expected revenue Balance each customers channel preference against triggers to select customers Balance the customers likelihood to respond against the profit potential of each campaign 4.Benefit 25 – 40% reduction in direct marketing cost Decreased cost of Interaction Up to double the response to marketing campaigns 25 – 50% profit increase Assessing the impact of campaign decisions After marketers create campaigns, Predictive Marketing eliminates the guesswork of determining which ones to run. This helps marketers know in advance which campaigns are likely to be the most successful at reaching a specific goal, such as retaining at-risk customers or selling a particular product. It also shows which campaigns are not likely to be profitable.By running only the campaigns that have the greatest potential for success, companies achieve positive financial results. Monitoring and improving campaigns Feedback from campaigns enables the marketing department to measure the actual results of campaigns, as well as adjust in-progress campaigns when the initial results are not as positive as expected. Predictive Marketing stores all campaign interaction information, such as the offer made, the campaign used to make the offer, and the models used in the campaign.This enables users to monitor: Campaign-level performance, such as actual response versus expected response, so users can see which segments and groups performed well Customer performance, such as customer profitability, cross-sell ratios, and attrition risk Channel performance, such as expected load on a channel versus planned load, and channel effectiveness for each campaign Predictive model performance, assess which models to continue to use and which to revise or refine.Predictive Marketing uses data from recent campaigns to further refine its models. By tracking the performance of models and campaigns, companies create a â€Å"feedback loop† of information and refinement that enables them to create even more effective campaigns and achieve progressively better results. Integrating with social media Companies are making a transition from a method of listing to engaging in order to capture more value from social media.Among the wide network of customers, predictive analysis helps business to plan it strategically to maximize the value of their social media interaction. Using techniques from data mining and text mining, predictive analytics lets you analyses at historical patterns and make predictions about future behavior for specific individuals. By taking customer data that you hold internally and adding what people have said and done, you can map out what people are likely to do and engage them accordingly.Enhance social media efforts with predictive analytics If you've got a social media game plan for monitoring feedback and engaging customers, consider adding predictive analytics to help you respond to customers in more proactive, targeted ways. As an example, by classifying sentiment (customer's opinion, comments, suggestions or thoughts about the product) in social media data and tying that to customer data, you can predict people who are likely to be favorable prospects with special messages or offers.Here's one way you can get started: 1 . Capture 1,000 comments in the social media sites you monitor. You'll need to determine who to respond to, and how. 2. As its not feasible to respond to all comments, you can use text mining to classify sentiment, and based on the results; follow a 3-pronged response strategy: Send tha nk yoga's to positive comments – reinforce the relationship. Ignore comments with negative sentiment below a certain threshold – in some cases; it's more effective to focus on more receptive customers.For those in between, send an invitation to engage via one-on-one social interaction with a support or sales representative. You can engage customers â€Å"in social† through outworks such as Twitter, Linked or direct them to your online email portal or phone bank. 3. Next, you'll want to measure the effectiveness of your response strategy. After planning your responses, test different messages (A/B testing) for each response type to gauge effectiveness, analyze and understand response rates, and refine your messaging. This testing will inform the engagement strategy you deploy going forward.Adding predictive analytics to your social media efforts lets you capture more value sand ultimately, it can help you gain a deeper understanding of your customers o more effec tively engage them, increasing retention and loyalty A Microscopic and Telescopic View of Your Data Predictive analytics employs both a microscopic and telescopic view of data allowing organizations to see and analyze the minute details of a business, and to peer into the future. Traditional Bal was limited only to create assumptions and find statistical patterns to those assumptions.Predictive analytics go beyond those assumptions to discover previously unknown data; it then looks for patterns and associations anywhere and everywhere between seemingly disparate information. Predictive Analytics-The Future Business Intelligence The market is witnessing an unprecedented shift in business intelligence (81), largely because of technological innovation and increasing business needs. The latest shift in the Bal market is the move from traditional analytics to predictive analytics. Although predictive analytics belongs to the Bal family, it is emerging as a distinct new software sector.An alytical tools enable greater transparency, and can find and analyze past and present trends, as well as the hidden nature of data. However, past and present insight and trend information are not enough to be nominative in business. Business organizations need to know more about the future, and in particular, about future trends, patterns, and customer behavior in order to predictive analytics to forecast future trends in customer behavior, buying patterns, and who is coming into and leaving the market and why.Traditional analytical tools claim to have a real 3600 view of the enterprise or business, but they analyze only historical data, data about what has already happened. Traditional analytics help gain insight for what was right and what went wrong in decision-making. Today's tools merely provide rear view analysis. However, one cannot change the past, but one can prepare better for the future and decision makers want to see the predictable future, control it, and take actions t oday to attain tomorrow's goals.Case study Let's use the example of a credit card company operating a customer loyalty program to describe the application of predictive analytics. Credit card companies try to retain their existing customers through loyalty programs. The challenge is predicting the loss of customer. In an ideal world, a company can look into the future and take appropriate action before customers switch to competitor companies. In this case, one can build a predictive model employing three predictors: frequency of use, personal financial situations, and lower annual percentage rate (PAR) offered by competitors.The combination of these predictors creates a predictive model, which works to find patterns and associations. This predictive model can be applied to customers who are would be using their cards less frequently. Predictive analytics would classify these less frequent users differently than the regular users. It would then find the pattern of card usage for thi s group and predict a probable outcome. The predictive model could identify patterns between card usage; changes in one's personal financial situation; and the lower PAR offered by competitors.In this situation, the predictive analytics model can help the company to identify who are those unsatisfied customers. As a result, companies can respond in a timely manner to keep those clients loyal by offering them attractive promotional services to sway them away from switching to a competitor. Predictive analytics could also help organizations, such as government agencies, banks, immigration departments, video clubs etc. Achieve their business aims by using internal and external data.Conclusion It was found that with the help of predictive analysis, organization were able to resolve one of greatest challenge faced in business organization (to find out the customer expectation, needs, key drivers of customer value and market segments) by way of analyzing transactional and other data to pr edict the likelihood that customer segments will respond to marketing messages. Predictive analytics enables marketers to understand the key factors that drive customer value and loyalty, and attract more customers.