This year was good for SaaS startups in the country. Indian markets adopted newer technologies into its systems. More opportunities for SaaS players are expected from the BFSI sector. SaaS companies use business model that provides software solution over the internet and they charge the customers according to the usage of software since most of the financial solutions have gone online. The software uses around 2000 data points to evaluate the credit score and corresponding interest rate. Many big data analytics startups provide solutions to industries. Read more at: http://economictimes.indiatimes.com/small-biz/policy-trends/digitisation-push-makes-bfsi-sector-attractive-to-saas-players/articleshow/56325400.cms?from=mdr

Self-service analytics is an approach to data analytics that enables non-tech savvy users or business users to access data for more informed decision making.  For success in self-service analytics, employees should have the culture of using data to start, propagate or conclude every conversation. A few areas required to support this cultural change are, organizational readiness which will help in determining the type of self service tool required for the organization. Next is data readiness i.e. continuous feedback about data quality practices should be given. Third is data security readiness i.e. data security, compliance and data access should be carefully examined during making a transition to self-service analytics. Fourth is that users should be adaptable and willing to use new technology. And lastly, data shouldn’t be interpreted just by preparing charts instead it should be used to make theoretical interpretations. Read more at: https://www.blueoceanmi.com/blueblog/self-service-analytics-need-cultural-change/

With all the talk about predictive machine learning and deep learning applications, one can lose sight of the data engineering, some might call it data art that is needed to prepare the data to work on. Many questions go into the planning for deep learning applications like should the processing be disturbed; how much noise obscures the signal arriving from internet of things devices such as cell phones. In the case of mobile phone sensors, data preparation for deep learning applications can present unique problems, data preparation can involve considerable preprocessing. Insurance and other industries are entering the golden age of sensor data, but the data needs preprocessing because the data initially is very noisy. Given the Data, the algorithms will figure out the right transformations of the data. Read more at: http://searchdatamanagement.techtarget.com/news/450419925/Data-prep-for-deep-learning-applications-means-careful-planning

Going digital has directly hit demographics and technology of retail industry in a positive way. The economy of the retail industry is also shifting quickly, retail stores must do more to keep their stories intact without damaging their brand name. The retail industry is at a crucial moment with online sales resulting in periodical of all sales. Retailers must first examine and learn from leading physical and online retailers before implementing an e - commerce strategy. Retailers need to enhance their technology user base by collaborating with e - commerce giants of the market. The majority of e - commerce firms use social media like Facebook, Twitter and Instagram, to give a shot to great digital marketing tools, retailers should use these platforms more often to disclose their great offers and collection.  Read more at: https://www.entrepreneur.com/article/290131

BFSI is expected to pay out large this time, unlike the last time.  After the IT sector BFSI is on the top for its salary increment. Reactions are different for different sectors. There has been low supply and high demand for the blue-collar jobs, sophisticated profile jobs have also emerged. Variance between temporary and permanent salaries have narrowed sharply. E-commerce and educational services are both additions to the list, these focus on talent acquisition and pay high salaries to acquire it. Project managers and analysts are the roles that get the highest salaries. Certain new job profiles are taking away the focus from IT roles. Read more at : http://economictimes.indiatimes.com/jobs/bfsi-sector-edges-out-information-technology-to-become-top-paymaster/articleshow/58172956.cms?from=mdr

Many data analytics firms are working for the betterment of the farmers. These companies integrate satellite, weather, and IoT analytics with the agricultural sector. They use its proprietary machine learning and parallel computing techniques, to resolve complex relationships like crop growth and soil health. Using analytics farmers can opt for a smart sampling procedure using satellite – based crop clustering techniques, which reduces the time for identification of these plots and optimize their locations. While the former requires timely crop intelligence, crop insurance companies need highly accurate assessment of risk. The satellite imaging analytics serves two purposes: First, it ensures that the farmers receive a fair and immediate compensation for crop loss due to adverse climatic conditions. Second, it enables insurers to settle claims speedily due to the availability of data in near-real time without any manual intervention. Read more at: https://yourstory.com/2017/05/satsure/

Is Netflix about to set forth on a cancellation binge? A week after it axed “The Get Down,” its expensive single-season music drama, Netflix announced Thursday that it was canceling its sci-fi drama “Sense8” after two seasons.

After 23 episodes, 16 cities and 13 countries, the story of the Sense8 cluster is coming to an end.

Netflix has poured billions of dollars into original TV shows, and it has only canceled a small fraction of them.

But the company’s chief executive, Reed Hastings, recently suggested this was something they might be prone to do.

“I’m always pushing the content team, We have to take more risk, you have to try more crazy things, because we should have a higher cancel rate overall,” he said Wednesday in an interview with CNBC. Read more at: https://www.nytimes.com/2017/06/01/arts/television/sense8-netflix-canceled.html?rref=collection%2Fsectioncollection%2Ftechnology&_r=0

Salinas Valley in San Francisco is adapting to a new technology in its agriculture. Robots with water knives have come into the picture. With increasing population and an ageing workforce,automation is a necessity to feed the mass. The technology does not aim to replace the farmers, but it works hand in hand for rapid effective production. The firms are modifying their products to cope up with the technology. Soil sensors are used to tackle the crisis of water. The ocean level is rising and with the ever-growing population,automated farming is the only way forward and Salinas Valley will be the pioneer of a revolution that is set to take place around the globe.Read more at: https://www.wired.com/2017/05/robots-agriculture/

State Bank of India (SBI), the largest public bank of India, has raised its Monthly Average Balance (MAB) from 500 to 5000,3000,2000,1000 in metros, urban, semi-urban and rural areas respectively. ATM transactions will be charged at 25 per transaction for savings accounts. Moreover, there are charges for transactions through bank correspondents and IMPS transfers. Locker rents too have risen and check books will be levied at 3 per leaflet after 50 checks in a financial year. An enrollment fee will be charged for new savings account and SMS charges of 15 per quarter will be applicable as before. As a whole,SBI customers have to bear a little extra burden in this year effective from June 1,2017. Read more at: https://blog.bankbazaar.com/must-know-sbi-new-rules-effective-from-1st-april-2017/

Manchester United has overtaken Real Madrid to become Europe's most valuable club in terms of enterprising value. Real Madrid and FC Barcelona are in the second and third places respectively. Manchester United's value crossing the record 3 billion euro mark even after finishing 6th in the recently concluded English Premier League delineates the ever growing popularity and fan base of the English giants. The phenomenal achievement of the English clubs is mainly because of the extraordinary broadcasts.Chelsea,Liverpool,Manchester City,Tottenham Hotspur and Arsenal feature in the top 10 from England along with Bayern Munich from Germany and Juventus from Italy.Read more at: http://www.independent.co.uk/sport/football/european/manchester-united-real-madrid-barcelona-arsenal-liverpool-most-valuable-club-europe-a7764636.html

The computing power is growing by each day. Technological Singularity describes the transformation that could be noticed because of an intersection between humans, technology, and artificial intelligence. This concept has been modified over the years and has been a subject to research. Theories suggest that technologies will take over the humans. This is an era where human intelligence will become increasingly non-biological. Post singularity improvements are predicted and changes are expected to introduce machine speed and intelligence. Post human literally means humans and technology will become interlinked. In the upcoming years, humans will completely expand the capacity for intelligence of the civilization. Read more at: http://analyticsindiamag.com/technological-singularity-can-achieve/

Programming languages and Mathematical algorithms are not sufficient for a successful career in Analytics. Communication skill plays a vital role. Explaining the results of the analysis performed in a simple language is as important as ability to analyze the data. According to the author, the key aspects of communication are simplicity, narrative and action. Secondary research is another way to stand out in the analytics profession. What counts is the simplified presentation and explaining the consequences of several course of action to build a successful career in analytics. Read more at: https://www.forbes.com/sites/metabrown/2017/05/30/if-you-want-to-succeed-with-analytics-effective-communication-is-a-must/4/#1a1f627d4c44

According to a report, it was found that the global CRM market is expected to reach $81.9 billion by 2025, and in turn attributes this growth to the ability of today’s CRM solutions. This makes it easier for companies to understand and connect with their customers and so deliver a better customer experience. Nowadays, the in-store shopping experience is enhanced by leveraging cloud-based point-of-sale with store operations management systems and further, the new Commerce Cloud Store will deliver a mobile-first point-of-sale (POS) system for brick and mortar venues that will help store associates to engage with their customers and make predictive product recommendations that are based on a customer’s online and in-store shopping histories and interests. Read more at: http://it.toolbox.com/blogs/insidecrm/real-time-customer-view-for-best-cx-76707

Subsets of AI are diversifying and algorithms are growing advanced. AI had an alarming impact in many instances. Certain applications of AI are called black box because it is difficult to understand how the result have been generated. Decoding the black box technique involves optimizing a given function in isolation, and sharing it as necessary. This makes the work a lot easier and scales the data. Firms need to make people aware of AI's applications in order to make it more transparent. AI cannot be completely trusted with certain applications. In future, we have to embrace AI and develop trust on it because it has many advantages and black box is a positive step in this direction. Read more at: http://analyticsindiamag.com/making-sense-black-box-artificial-intelligence-trust-ai-completely/

Small businesses are vulnerable to hacking. Hackers attack smaller businesses assuming that they can quickly get in and steal customer data. So, to strengthen the customer data security the following can be followed. The first thing to keep in my mind, is it as data grows the security system should be improved. Next is building up the online sales. Once it can be shown that the threats of hackers and viruses are taken care of, customers will rely on the company more and thus consume online. Third is to use the right technology to protect the data. Installing some software which will constantly monitor the system and give alerts if someone tries to break into the secured information can be helpful. Additional protection measures such as authenticator tabs and biometrics should be considered. Fourth is that only technology shouldn't be relied upon. Fifth is risks shouldn't be underestimated i.e., companies should always be prepared beforehand and have proper security measures. Lastly, it is important for the companies to know where the data is located, this way, they can be prepared in the event of a natural disaster or if any other problem hits the location where the cloud servers are located. Read more at: http://www.analyticbridge.datasciencecentral.com/profiles/blogs/tips-for-reducing-fraud-and-bolstering-customer-data-security

Principal Component Analysis is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possible correlated variables into a set of values of linear uncorrelated variables called principal components. The goal is to explain the maximum amount of variance with the fewest number of principal components. PCA transforms the initial features into new ones that are linear combinations of the set of variables. For this analysis, first the original values should be normalized and the covariance matrix should be formed. The eigenvalues and eigenvectors should be calculated and the eigenvector with the highest eigenvalue has to be chosen. For the highest eigenvalue the data set matrix has to be multiplied and finally the mean can be put back which was removed in the beginning. However, if the original data set is correlated the solution can be unstable. Read more at: http://www.datasciencecentral.com/profiles/blogs/introduction-to-principal-component-analysis