Planning before working out is the most basic idea. A planner successfully merges both aesthetics and practical planning. But a strong design comes from the collected data. Combining user and sales data, Ford F-150 has been designed to reduce weight and increase sustainability which are made keeping in mind both environmental and business sense. Though A/B testing was a popular method of creating effective marketing choices due to its manufacturing constraints, companies nowadays use data gathered by observing public interest to create new products or make changes to earlier products. With increasingly complex algorithms, architectural design is now getting more accurate. With faster computing power, various tests can be done to establish strength and quality. Read more about this article by Chris Towers (Big Data Divisional Head) at:  https://channels.theinnovationenterprise.com/articles/designed-by-data

The film Moneyball based on a 2003 book, talks about the Oakland Athletics baseball team whose focus is on the team's analytical, evidence-based approach to improve the baseball team despite its poor revenue system. This film made the plot for professional sport associations to spend big on analytics. Analyzing data points captured by video cameras around the stadium uncover patterns that coaches and players might miss. Data can also be collected by wearable devices to help prevent injury by measuring its likelihood. So, companies need to follow get up and move up to the major leagues of Big Data. But predictive analytics can decrease efficiency as supporting analytics platform records, analyzes and visualizes trends. Read more about this article at: http://www.tibco.com/blog/2015/05/26/how-big-data-analytics-are-transforming-sports/

In 2012, analytics was applied in the presidential election of USA. They employed a strong analytics team who used a strong analytics database and prediction was predicted with R and SPSS. The presidential team made a mega file to find potential voters, get their attention, predict specific appeals to persuade people etc. Consumer Data determined people who funded for the campaign as fundraising was an important aspect of the victor. Read more about this article by Euan Hunter (Global Delegate Sales Executive) at:  https://channels.theinnovationenterprise.com/articles/taking-political-control-with-digital-analytics

With the help of predictive analytics, marketers can predict future sales. With this prediction information, companies can now decide on their campaigns. Analytics is mainly used for correlation and causation. A lot of vendors pay maximum attention towards correlation but causation underlying a pattern is important to predict a customer’s purchase behavior. Thus predictive analytics analyzes customer behavior and offers them promotions according to their behavior so as they intake those. Hence if used properly, it can be of great importance. Predictive analytics can help marketers across the entire customer lifecycle, said Fern Halper, director of TDWI Research for advanced analytics. Read more about this article by Katherine Noyes (IDG News Service) at:  http://www.computerworld.com/article/2934086/business-intelligence/marketers-are-betting-big-on-predictive-analytics.html 

Movies are big businesses where a lot of money needs to be spent so that box office hits. Prediction of this hit is an impressive science. So studios nowadays depends on its blockbusters by making early prediction to carry their less profitable films. So, companies uses a number of different metrics to predict the sentiment towards a movie. Analytics has spread its arms from Hollywood towards the World’s Biggest Film Industry, Bollywood. Social Sentiment Index (SSI) reveals measures about successful films. It is argued that it might hamper creativity and risk-taking factor in the movie industry. Thus it might affect small films to even take a chance. Read more about this interesting article at: https://channels.theinnovationenterprise.com/articles/can-social-media-analytics-help-end-box-office-flops

Companies can use data scientists to prepare data sets, business analysts to develop models using both statistical and machine learning algorithms, application developers can be used to deploy and manage predictive analytics life-cycles, and tools. There are many vendors in the categories of customer analytics, cross-selling, smarter logistics, e-commerce etc. Open source software community is driving predictive analytics into the mainstream. Many Business Intelligence platforms also offer “some predictive analytics capabilities."  Rapid Miner’s predictive analytics platform can also be integrated into the cloud. Read more about this article at: http://www.cmswire.com/cms/big-data/3-vendors-lead-the-wave-for-big-data-predictive-analytics-028684.php?mkt_tok=3RkMMJWWfF9wsRomrfCcI63Em2iQPJWpsrB0B/DC18kX3RUnJb6Wfkz6htBZF5s8TM3DVlJGXqlI4UEKTLE%3D 

For start-ups and SMEs, Open Source (OS) software will be the most attractive option because it’s free and also there is no vendor lock in. So there are no contracts to break. The biggest advantage of OS software is that is gives us the option of operating, sharing, and modifying the software as we choose. Collaborators are able to access the software from around the world to share ideas and add features that could improve it. Its drawbacks involves low costs, which gets further complicated by a lack of support with OS software. Lyndsay notes four questions that needs to be answered in Wise’s book, Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize ROI. Read more about this article at: http://channels.theinnovationenterprise.com/articles/is-open-source-analytics-software-the-right-option 

A firm needs to build a firm base that gradually can destroy others. The amount of information produced by social media platforms is an excellent way to measure a business’s both real and potential value. 56% of marketers named the ‘inability to tie social media to business outcomes’ as the central challenge to measuring ROI from social media. Gauging customer demand prior to launch using social media helps minimize risk, especially for entrants. Social media data can be correlated with an organization’s KPIs to know their impact upon one another indicating its usefulness. Allowing big data analytics capabilities to the social media platform helps firms to cross-reference social data to other data streams from their business. Read more about this article at: http://channels.theinnovationenterprise.com/articles/social-media-analytics

At Paris Air Show 2015, Bombardier plans to bring its CSeries jetliner that carries Pratt & Whitney’s Geared Turbo Fan (GTF) engine which uses great swathes of data. But data created by industrial equipment such as jet engines, gas turbines and MRI machines has more potential business value on a size-adjusted basis which makes it valuable than other types of big data being generated from the social web, consumer Internet and other sources. Finally, the Internet of Things is helping manufacturers manage their Pay by Hour engagement models and long term maintenance contracts at lower costs. With rapid advancements in the Internet of Things in aircrafts combined with data analytics, it’s truly exciting to work in the aerospace industry. Read more about this interesting article at:  http://channels.theinnovationenterprise.com/articles/7319-analytics-and-the-internet-of-things-in-aerospace

The mission of Matt Morgan, the vice-president of global product marketing of Hortonworks is to establish Hadoop as the foundational technology of modern enterprise data architecture. Hortonworks Data Platform (HDP 2.3) is the only enterprise Hadoop-based platform that is made up of 100% Apache open source components. Enhanced security and data governance have been added to HDP 2.3 including new encryption of data, and the extension of the data governance initiative with Apache Atlas. But many doubt that skill shortage is one of the barrier to Hadoop adoption. Read more about this article at:  http://www.cmswire.com/big-data/is-hortonworks-paving-the-way-for-pervasive-hadoop-adoption/

The sale of insurance and other similar products through a bank to help it customers at situations is known as Bancassurance. Development of Bancassurance in India began to improve the channels of insurance policy so as to reach the hands of the common, to widen the area of working of banking sector, to improve the services of insurance. The Reserve Bank of India and the insurance development and regulatory authority have a set of guidelines for companies to form Bancassurance. It basically encourages people to buy insurance policies increasing the number of providers. It also has demerits such as interest conflict of bank and insurance policies, compromising on data security, etc. Read more about this article at: http://tips.thinkrupee.com/articles/bancassurance-in-india.php

To ensure long-term success of any community, they should balance strategy, operations and tactics well. Many organizations are focusing on the technical aspects of communities but not enough on developing its community team or systems to support them. So Companies Registry recommends to hire enough staff, provide professional development to the team and define the structure, culture and rewards through policy and governance. The best-in-class communities are almost twice as likely to have formal advocacy programs, and three times as likely to have multi-tier programs. Tactics are some quick wins that organizations take advantage of it in order to improve engagement. Defining company’s value, implementing new member welcome program, investing in community management training helps improve tactics. Read more about this article at:   http://www.cmswire.com/customer-experience/how-to-maximize-the-value-of-your-online-community/ 

Big Data, one of the prevailing trend has changed our mind-set about Internet and other Technologies. The five keys to get an idea of the reach of Big Data are: 1) the amount of Data transmitted through an optical fiber doubles every nine months. 2) The number of cellphones in the world is now equal to the number of people thus becoming the fastest adopted technology ever. 3) Facebook has 1.3 billion active users and one hundred hours of video are uploaded to YouTube every minute 4) The number of IP-enabled sensors are increasing 5) 90% of the world's stock of data was generated in the past two years. Thus, Big Data has many applications in the business world. Read more about this article at:  https://www.bbvaopenmind.com/en/5-data-about-big-data/?utm_source=facebook&utm_medium=techreview&utm_campaign=MITcompany&utm_content=5bigdata 

For a future IT landscape dominated by Big Data technologies, it is crucial to use technologies and tools for Big Data. Hadoop and MongoDB are designed to perform in the Cloud which gives firms ability to scale computing and storage resources. Also, data professionals have to undergo proper training to acquire skills. Data stored in cloud should be according to the company's security policies and compliance laws. Mastering the art of messages, promotions, and marketing on a micro-level, will lead to more customer-centricity, and deeper customer engagement, will ultimately result in better ROI. Read more about this article at: http://www.marketingprofs.com/articles/2015/27754/seven-ways-to-get-ready-for-big-data-of-the-future

The scope of Facebook is much wider than that of WhatsApp and Instagram. So it would be hard for the outsiders to exist as they would lack audience. But capitalizing on the audience that already exist might be a solution to that. Thus the future of social media will be two-tired. Social leaders include Facebook and Twitter on one side, and the other side include challengers proposing concepts. Hence being the first to launch a new concept will no longer suffice in this competitive world if the concept isn't an innovative one. Now, check-ins need to be incorporated into this social network platform. Read more on this article by Marie Dolle (Head of Content) at: http://www.socialmediatoday.com/social-networks/mariedolle/2015-05-28/social-media-era-consolidation-infographic 

The new thing about big data is that, the cost of getting the three V’s namely, Volume Velocity and Variety has become very cheap nowadays. So as we consume data, it influences us. In the past, we weren't very much concerned about being caught by camera but today’s surveillance of the whole population, makes us realize about the sensors around us. Crowd-funding sites are a treasure of such smart censored things. The evolution of data collection in a world where every output is also an input poses immense technical and ethical challenges. But it’s also a massive business opportunity, changing how we build, maintain, and recover almost everything in our lives. Read more about this article at:  http://radar.oreilly.com/2015/01/the-promise-and-problems-of-big-data.html?cmp=tw-data-na-article-stca15_72724

More than $380 billion will be invested in IoT between now and 2025 is predicted. Ben Gardner, President, Northeast Group says, "Smart meters with two-way communications and other sensors across the power grid are already providing tangible benefits for utility customers. The next decade will see billions invested in the global smart grid market, creating a huge opportunity for vendors." Partnership, mergers and acquisition activity is also accelerating. Infrastructure investment is moving out of developed markets to take advantage of opportunities in emerging global markets. Vendors are branching out from traditional investment and exploring the potential of new smart city and smart infrastructure market segments. They are rethinking of their business models; moving away from hardware development into analytics software and services. To know more about this interesting article by author Ken Briodagh (writer and editor) at:  http://www.iotconnectivitysolutions.com/topics/iotconnectivitysolutions/articles/404036-iot-developers-start-looking-economies-service.htm

A Formula 1 car (F1) may take 5 months from the drawing board to production. Testing programs of the car's speed, stability, aerodynamics and tire degradation around a racetrack is done by the engineers and data analysts. Some teams uses technology which enables its existing systems to process this data faster than ever before.  It is not just about interpreting analytical information, but being able to make strategic decisions as a team. It would be interesting to see the sport getting audiences more integrated with real-time data. Exposure to basic forms of live data via a mobile app may give viewers an indication of why teams make the strategic decisions that they do. The F1 car technology shows how the sport is in pole position in terms of technology innovation especially with data. Read more about this article at: http://channels.theinnovationenterprise.com/articles/f1-and-data-analytics-it-s-a-numbers-game

Transport for London (TfL) data, collected through ticketing systems, censored vehicles, traffic signals, survey groups etc. is provided through open API's for 3rd party app developers. This data is then used to produce maps showing when and where people are traveling, and allowing analysis at the level of individual journeys by using Big Data. The key priority to initiate this data was to provide travel information which gives the routes customers use and to send travel updates to them. Thus Bernard Marr from Forbes in his article showed how big data played a big part in re-energizing London's transport network. Read more about this article at: http://www.content-loop.com/big-data-internet-things-improve-public-transport-london/

According to Gene Pease, CEO of Vestrics, "The power of predictive analytics is you can understand where your investments are working". In the last few years, the idea of hiring, retaining and training employees has been a foreign concept for many companies due to the downsizing. Thus, predictive analysis in collaboration with HR is proving to be one of the ways managers are modernizing with their hiring and engagement practices. Organizations can thus create the profile of workers that should fill a particular position. According to writer Anne Loehr, "The biggest benefit is that predictive analytics can help remove human bias". Thus customized on-boarding and leadership development programs may evolve out of predictive analytics in the near future.  Read more about this article at:  http://fieldservice.com/2015/05/26/predictive-analytics-a-magic-bullet-for-field-service-hiring-managers/