SigmaWay Blog

Web-Connected devices that can talk to each other, transfer data, and carry out tasks without human interaction, are what make up the Internet of Things (IoT). These devices/ things are becoming popular among any firm looking for an edge. Generally IoT refers to devices in Consumer products such as Smart Phones, Smart cars etc. In Industrial sector these devices are used to build smart factories by integrating sensors and software to complex machinery. Growth of these devices will be very high as suggested by a report from Deloitte and there are only few firms working in IoT/Industrial Internet implying that there will be enormous opportunities for entrepreneurs in this sector.

As is the case with any budding technology, this area also faces challenges. Some of which are data security, addressing potential customers’ concerns about privacy, the lack of common standards between companies developing software for these devices; and the need to build physical infrastructure to support the collection and analysis of the data.Read more at: 

http://www.wamda.com/memakersge/2015/05/5-minute-guide-internet-of-things

Corporate profit margins may be narrowing down with the S&P 500 index declining more than 20%. The stock market being overly dependent on wide profit margins is vulnerable. Statistics and various calculative methods show us that the six-decade average profit margin of corporate America is 6.3%. If corporate profitability reverted back to its average, it is likely that S&P 500 would be on its way down.  The stock market would have single digit growth. Way out could be P/E expansion and widening of corporate profit-margins. Opinions differ; many proponents believe the stock market will be affected no matter what the level of corporate profit margins. To know more, follow the link: http://www.marketwatch.com/story/investors-need-to-face-the-possibility-of-a-great-reset-2015-05-20

•  Adoption of digital technologies has led to a customer-centric set of services. These technologies are nowadays demanded by banks, financial services firms and insurance companies.   With the world becoming competitive, sectors such as banking, finance services and insurance industries and product development, delivery and customer engagement are now being driven by a more mobile, social and data driven experience. But, the financial industry is still way behind firms in the consumer and retail markets. Firms in financial industry must ensure that they build a foundation for digital change. Read more at:   http://blogs.sap.com/banking/2015/05/19/digital-innovation-in-banking/

•  Big Data enables various capabilities like forensics and the analysis of long-term historical trends. By collecting data and analyzing historical trends, you would be able identify when an attack started, and what were the steps that the attacker took to get a hold of your systems. These techniques could play a key role to detect threats at an early stage. Big Data provides  opportunity to consolidate and analyze logs automatically from multiple sources rather than in isolation. This enhances intrusion detection systems (IDS) and intrusion prevention systems (IPS). Integrating information from physical security systems, such as building access controls and even CCTV, could also enhance IDS and IPS to a point where insider attacks and social engineering are factored in to the detection process. This presents the possibility of significantly more advanced detection of fraud and criminal activities. Big Data could result in far more practical and successful SIEM, IDS and IPS implementations. Read more at-         http://www.techrepublic.com/blog/big-data-analytics/how-big-data-is-changing-the-security-analytics-landscape/

• Apache Hadoop- as software vendors are targeting the distributed storage and processing architecture, need for Hadoop is increasing 
• Apache Spark-The rapid rise of the in-memory stack is being extended as a faster and simpler alternative to MapReduce-style analytics.
• NoSQL-Databases like MongoDB and Couchbase are taking over jobs previously handled by monolithic SQL databases like Oracle and IBMDB2.
• Machine Learning and Data Mining- Big data pros who can harness machine learning technology to build and train predictive analytic apps are in high demand Statistical and Quantitative Analysis-Add in expertise with a statistical tool like R, SAS, Matlab, SPSS, or Stata is of high demand in today’s world. 
• SQL- SQL is still in demand for the next-generation of Hadoop-scale data warehouses. 
• Data Visualization-It has become most important in the job market. 
• Progamming Languages-Knowing programming languages like Java, C, Python, or Scala could give you the edge over other candidates. Read more at: 

http://www.datanami.com/2015/01/07/9-must-skills-land-top-big-data-jobs-2015/

US companies make huge profits by paying employees minimum wage. US taxpayers pay $153 billion public assistance to working families. Now public opinions are divided. They want these corporations to pay workers enough to live decently. A proposed bill in Connecticut states that companies paying below $15 per hour will be imposed a fine of $1 per hour, per worker and this money will be spent on social welfare. Each Walmart in Connecticut costs taxpayers $1 million in social programs; also state pays $486 million in medication and cash assistance.  The bill could be a creator of many positions, and also help to shift the social assistance burden from taxpayers back to employers. The bill though in its initial stages has gained politicians' attention. Read more at:

http://www.fastcoexist.com/3046341/is-it-time-for-companies-to-pay-for-not-paying-enough-the-walmart-tax-gains-momentum

Companies want to have an edge using analytics but struggle due to unavailable technologies, outdated software, cumbersome systems, complex integrations coupled with huge costs in infrastructure and personnel. The cloud has transformed the way organizations look at big data and analytics solutions. It has been predicted that investment in cloud over the next five years will grow threefold. • Open source platforms like Apache Spark provide simple and fast data processing capabilities. These though powerful, due to expensive hardware, long lead times are difficult to deploy. The cloud allows immediate usage of open source platforms without initial investments.
• Cloud -based software are user friendly, simple to grasp and sort in comparison to on premise counterparts and release cycles are shorter.
• Cloud-based analytics provide a platform where hard business problems can be effectively tackled.
• Processing and extracting data are easy from a synced centralized location.
• Better connectivity leads to better productivity, deployment of data pipeline is easy. Read more at:

http://insidebigdata.com/2015/05/08/5-reasons-data-analytics-in-the-cloud-will-take-center-stage-in-2015/

Researchers gave out warnings of a "full" internet or a capacity crunch which may arise as a result of exceeding the upper limit of information passed through the optical fibers. This is primarily due to the fast growth of online media consumption through YouTube, Netflix, etc.  The trick of increasing the capacity of the optical fiber by increasing the power of light beamed through them has hit a dead end as increasing the power beyond a certain point degrades signal quality. Thus, data rationing and other restrictions may be the only options if the researchers aren’t being able to commercialize the solutions they are coming up with like creating fibers with multiple cores or new techniques to compensate for distortion at high power.

Read more at: http://www.newscientist.com/article/dn27536-the-internet-is-running-out-of-room--but-we-can-save-it.html#.VVq8ByuUcV8

Natural disasters unlike other man-made disasters are the most terrifying events in the world since they cannot be controlled. However, by using the power of big data, it is possible to help in disaster management. For this purpose big data can be used through crowdsourcing which can be achieved by the increasing use of social- networking in the present days. In case of earthquakes, instead of using dedicated sensors which are highly expensive one can use the almost similar sensors in smartphones through Wi-Fi-hotspot and GPS to collect data to create an overall picture. For this, infrastructure needs to be set up so that information can be uploaded from the affected areas so that the affected people can be tracked down. Moreover the maps created through crowdsourced collaboration helps to optimize the recovery process. Read more at :http://channels.theinnovationenterprise.com/articles/big-data-in-a-crisis

Counter party credit risk is becoming important nowadays; advanced risk management methods are being implemented in power and financial-services sectors. Transportation infrastructure industry lag behind but the need is immediate. Technicality in rail infrastructure is complex, thus the need for assessing risk. Failures are growing due to lower rated original equipment manufacturers (OEM). It is necessary to integrate systematic assessment of credit risk into the supplier selection process. Minimum rating requirement could be a way out allowing customers to control and lower the risk of supplier default.  This increases transparency, improves efficiency of risk assessment and facilitates monitoring of counterparties.  Customers of railway projects should learn from the available risk assessment methods and use them to their benefit. Read more at:

http://www.mckinsey.com/insights/risk_management/managing_supplier_risk_in_the_transportation_and_infrastructure_industry

According to a recent study, 50% of the consumers believe that their brands are clueless about how to reach them and only one in three customers believe that their brand understands them. According to Bill Carmody (CEO of Trepoint), the best way to understand the customer is by emotional intelligence. Emotional Intelligence refers to the ability to perceive, control and evaluate emotions. It is about being real, authentic and intuitive and also helps to develop digital marketing campaigns. Here are some tactics to implement emotional intelligence in digital marketing campaign:
• Understand your audience by using social listening tools such as Topsy, Hootsuite and Social Mention.
• Add value to customers rather than simply pushing your agenda. Adding value includes finding ways to enhance and improve the customer’s experience.
• Try to attract customers by thinking beyond benefits and features.
• Think ways to surprise or delight your audience rather than creeping them. This can be done by using predictive analysis.
• Respect when retargeting.
Read more at: http://www.entrepreneur.com/article/246390

The increasing importance of digital marketing is forcing every organization to use digital marketing. Here are some tips for organizations which are planning to use digital marketing:

·         Hire someone who has knowledge about digital marketing or learn how to use digital marketing.

·         There are various ways to analyze digital marketing, but some of them may suit you or some not. It is important to keep on trying new ways.

·         The best type of digital advertising reaches its audience by consent. Maintain a link between consistent efforts and spamming.

·         Try to make your advertising, mobile-friendly because mobile revolution is the next revolution.

·         There are various tools that allow for a do-it-yourself approach and leverage content across platforms.

Read more at: http://www.investopedia.com/articles/investing/051215/dos-donts-digital-marketing.asp

Vendors often focus on showcasing their front-end capabilities, i.e. dashboard reporting and data visualizations, while ignoring the vital aspect of analytics, namely data preparation: cleansing, structuring and integrating data to make it ready for analysis. The typical scenarios include using more than one type of data source, working with large datasets, working with messy, unorganized data. This is where your business intelligence tools come in. These tools are meant to automate or simplify the bulk of the data preparation process by using pre-programmed adapters that connect into different types of data sources, and restructuring the data into a single centralized repository. Here are 3 crucial aspects of data preparation one should be aware of when evaluating business intelligence software: Access to the original data, joining multiple data sources and data management. Choosing the wrong software could skew your initial price estimate when you are forced to allocate technical resources or purchase additional programs to handle data preparation.

Read more at:

http://www.sisense.com/blog/data-preparation-checking-hood-analytics-software/

It's high time to move away from the old adage "Sell in May", because the market is on its way to double its year- to-date returns. Marketing axioms, rules of thumb may be comforting than investing logic but do not show the best path for investment. This concept though statistically proven to be nonsense does not discourage investors. Historical stock market data shows return from May through October might be more than the others on an average. Transaction costs, taxes on profits cannot be avoided by investors as trading volumes in summer months being consistently on the lower side. This leads to fewer trends and influence traders to get out as it is not worth to stay in the market. People believe that market loses from May to November with the worst in October, which is not the truth as research shows. Read more at: http://www.marketwatch.com/story/when-it-gets-to-may-you-might-as-well-stay-2015-05-16?page=1

According to Bill Baker (President/Owner, Speed to Excellence), manufacturing companies need to be innovative.  They need to keep on finding new ways to do a task. Companies and individuals need to be agile and flexible in gaining new skills. In manufacturing industry only three things matter. They are:

• People: Employees are the most valuable assets of the organizations. They can find innovative ways to make processes more efficient.
• Technology: It keeps on changing. To be competitive you need to adapt new technologies.
• Process: Process can be improved by reducing waste time and by improving quality and to improve process you can use lean six sigma.
Read more at: http://www.industryweek.com/leadership/what-does-future-hold-manufacturing

78% of the companies have dedicated social media teams and only 26% of the companies have social media as the part of their marketing strategy. This shows that, they don't recognize the value of social media marketing and they don't trust social media data for decision making. Companies using social media for marketing or promotion mainly use two strategies for monitoring:

• Restrict to hash tag mentions: A strategy that leads to high precision at the cost of many missed mentions.
• Unrestricted keyword search: An approach that could generate numerous false positives.

But these strategies lead to false results. Now the question arises how to monitor social media accurately?

Rohini Srihari (Chief Scientist at SmartFocus and a contributor to Econsultancy) in her article “how reliable are social analytics?” talked about several ways for monitoring social media accurately. Some of them are:

• For comparison across brands and different content sources, you should consider the various features like share of voice, sentiments, sudden spikes etc.
• Sentimental analysis is best for analyzing trends like change in public perception.
• For location based analytics, a researcher should ensure that a sufficient number of samples have been obtained.

To know more follow this link: https://econsultancy.com/blog/66466-how-reliable-are-social-analytics/

Millennials are the young adult between the age group of 18-34 years and according to reports total buying power will fetch $1.3trillion annually.  Millennials are diverse in terms of attitude, behavior and language, due to which marketers are facing problem in targeting them. According to Sujan Patel (Entrepreneur and Marketer, VP of Marketing at When I Work), there are some common characteristics shared by all of them. He discussed some tips on targeting millennials, they are:
• You should have an attractive mobile marketing
• Target social groups, instead of life stages
• Be relevant and engaging
To know more about these tips, please follow this link: http://www.entrepreneur.com/article/246199

In this competitive world, most of the organizations are struggling to attract customers. They are advertising on TV, newspaper, billboards. But, they are not getting success.  Here are some successful marketing strategies used to target the right customer at the right place and at the right time are:

·         Content marketing is one of the most powerful marketing strategies. This includes articles on website, e-newsletters, videos and articles on other website.

·         Make advertisement look visually good by adding pictures. According to a recent survey by Hubspot A/B, images used in tweets increase clicks by 36%, increase retweets by 41%, increase in leads by 55%, and increase visit by 31%.

·         Use responsive design, website technology for detecting the customer’s device and providing reformatted website according to the screen size.

·         For transparency, use social media marketing.

·         And at last, try to relate with target customers.

To know please follow this link:  http://www.business2community.com/online-marketing/competitors-arent-01222954

IOT refers to sensors that communicate over the Internet without human intervention. According to McKinsey and the Global Semiconductor Alliance report, surveyed 30 GSA members who were senior executives at semiconductor companies, “IOT has potential, but it has several hurdles which can delay it.” These hurdles are:
• Security and data privacy
• Customer demand
• Limited consensus on standards
• Market fragmentation
• Elusive new revenue sources
• Technology shortcomings
To know more about these hurdles and how they can affect IOT implementation processes, read an article “Internet Of Things: 6 Obstacles” given in the informationweek.com by Thomas Claburn (Writer at InformationWeek) at: http://www.informationweek.com/mobile/mobile-devices/internet-of-things-6-obstacles/d/d-id/1320434

In today's competitive world, many organizations are planning to apply DevOps. DevOps is the practice of operations. In this practice, development engineers participate together in the entire service lifecycle, from design through the development process to production support and it is also the collision of two major related trends: Agile Operations and collaboration between development and operations staff. Continuous improvement in devops can help organizations to be efficient and innovative. Here are some practices used by DevOps professionals to turn monitoring practices into an important part of their fast-paced product delivery cycles. They are: Consolidate your tool set, Enrich data with contextual information, Rethink the reporting of operational problems, Automate what doesn’t scale, Applying knowledge based algorithms for monitoring data gives you actionable result. To know more about these practices and devops, follow: http://venturebeat.com/2015/05/17/4-ways-to-radically-improve-app-monitoring-with-devops/