SigmaWay Blog

Organizations are now facing a change in the way they get their business intelligence services. Initially it was the IT department that provided business intelligence services, with all powers vested upon them. With business intelligence tools becoming increasingly accessible and users having knowledge of data and processes, IT departments are no more the only source of business intelligence services making self-service business intelligence the next step. The market for self-service business intelligence analytics tools is growing pretty fast. With these tools, business users can access pooled data from various sources, leverage those and produce business insights. Self-service analytics comes with several advantages. With self-service business intelligence, data has lower turnaround times leading to increase in decision-making processes and productivity. Read more at: https://channels.theinnovationenterprise.com/articles/the-drive-towards-self-service-business-intelligence

Media companies are taking advantage of advanced analytics and technology in order to increase their sales. Hence it allows advertisers to foresee what ROI they might anticipate from an investment in different channels and how this basically generates revenue. Advertisers are also interested about the exact efforts that they need to pursue to improve the results.

Daniel Kehrar (VP Marketing, MarketShare) in his article on Forbes indicated the five rationales which led media companies to move towards performance-based selling and they are as follows-                       

* Advertisers are under greater security.

* Brands are growing accustomed to analytics.

* The technology to accurately and cost-effectively predict advertiser outcomes is here.

The combination of new software technology, industrial data science and visualized information is acting as a game changer in the aviation industry. Analysts monitor flight data every second on the ground, for variations and immediately alert the pilot of any anomalies. Real-time data monitoring also helps in reducing fuel consumption apart from providing safety and security. Tim Leonard of southwest Airlines while talking to business insider said that the predictive analytics tools help prevent disasters they make pilots, mechanics, and employees more aware. It also helps provide frequent and precise data on current weather conditions leading to better scheduling and minimising delays. Read more at: http://www.businessinsider.in/Why-every-flight-you-take-is-obsessively-monitored/articleshow/47694902.cms

In the face of global competition, the business world needs to adapt new technologies and forgo past financial traditions. Following Derek Klobucher (Moderator of SAP Business Trends)'s article, most software were designed in the 70s, and 80s so they are slowly losing relevance in the modern era as the technology landscape is vastly changing. The way forward is adapting the next generation business platform. SAP is working on solutions to integrate instant real time insight, offer updated user interface and user experience which saves on transaction times by 30 to 40 percent, and be non-disruptive. Month end closing is a traditional; however modern times dictate fast, accurate and secure data analytics. To know more http://www.news-sap.com/how-real-time-analytics-will-kill-a-financial-tradition-sapinsider-2015/

Text data is the best answer in understanding customer feedback. It is best for answering the why and what questions. Text Analytics is becoming mainstream as interest is pouring in. Sources include call center notes, email messages, social media etc. Following Fern Halper's TDWI article, 5 fundamentals include: 1. Text analytics involves analyzing unstructured data to extract relevant information.
2. Extracting various information in the form of keywords, entities, concepts and sentiments
3. Considering taxonomy, while dealing with specific vocabularies.
4. Integrating text data with traditional data, depends on the kind of data
5. Text data is not as accurate as statistical techniques
To know more http://tdwi.org/Articles/2015/06/23/5-Text-Analytics-Fundamentals.aspx?Page=2

Like other conservative industries, chocolate industry is also interested in applying smart marketing techniques for their business. Companies need to be more scientific in their marketing ways and by now it's proven that future growth of the chocolate industry also depends on data-driven consumer marketing. Vosges Haut-chocolat company used the method of predictive analytics solution to reach its buyers. The difficulty in this task was to figure out how price sensitive were the consumers. With newly discovered software's and AgilOne predictive marketing cloud, Vosges tried to target all its customers who had left shopping carts and also found all different reasons for their - not purchasing the chocolates. Predictive analytics made it possible for the company to provide heavy discounts to the people segmented into proper user-groups and increase their sales so that consumers who would never buy any chocolates ever could be differentiated from the rest.

Read more at: http://www.smartdatacollective.com/socialmktgfella/326221/even-chocolate-needs-smart-data

Just as sourcing ingredients is essential to the quality of a great dish, the quality of labels determines the accuracy of a supervised or semi-supervised machine learning (ML) solution. What is a label?
Data labeling involves taking unclassified data and augmenting each piece of that data with some sort of meaningful ‘tag’, ‘label’, or ‘class’ that is somehow informative or desirable to know. Assigning a label is a judgment task to be performed by an analyst depending upon the kind of variables he/she wants to work with and is an essential part of the ML process.
How to ask Questions?
All tasks involving labels involves, at some point, asking a question to a human being for collecting the data. The questions should be relevant, clear and precise in addition to being plain and understandable and one for which answering does not involve much effort for the individual.
How to debug tasks?
The collected data may sometimes show discrepancies due to:
• Data: Certain factors which can cause bias in the workers have to be eliminated.
• Workers: We have to detect the expected errors arising due to human involvements, say, an error arising due to spammers rather than people making genuine mistakes.
• Tasks: If the problem still persists then there might be a problem with our initial assumptions. Time to rethink from the start.
How to assess Work Quality?
Specific domain based algorithms exist for every point during the project that determine the ongoing quality of work.
Labels are essential and cutting on effort in this regards is most likely to lead you to erroneous results.

For more information visit:
http://blogs.technet.com/b/machinelearning/archive/2015/06/23/label-quality-for-machine-learning.aspx

As the amount of data being generated daily is increasing, sales teams are now using analytics to boost sales. Several factors should be kept in mind while doing this like choosing the right set of data. The sales team may be lead astray when wrong data sets are chosen leading to drawing wrong conclusions. Choosing the right metric and making correct assumption is also crucial. Data on compensation can also provide insights into how sales can affect individuals or a group. Using this data and applying predictive analytics, one can easily forecast future performance and accordingly plan sales process. Read more at:http://www.cmswire.com/digital-marketing/dont-let-data-blind-your-sales-team/

A company’s success depends largely on its staff. So, hiring the best talent and motivating them is a challenge being faced by the HR professionals. A data-driven HR department can make use of analytics to accomplish several tasks like identifying the factors that influence performance of employees, retention rates and using statistics to understand how salary is related to performance. When compared to other departments in an organization, the HR department lags behind when it comes to using analytics due to lack of analytical skills required to convert data into insights. With the advent of cloud technology analytics solution can be generated at a fester rate. Several cloud based companies are now providing in-built analytics solution in their software. Read more at: https://channels.theinnovationenterprise.com/articles/hr-analytics-in-2015

Amalgamation of data, technology and marketing helps the manufacturing industry acquire new opportunities for earning profits. Data obtained from the customers are stored in various different systems like inventory, billing etc. And normally the manufacturers have to gather information from a common source thus having no competitive advantage in the market.
Industrial manufacturers are now gradually shifting from traditional marketing methods to data-driven ones so as to gain more prospects. Solutions such as Data-as-a-Service (DaaS) are influencing the Big Data ecosystem increasingly. It mines the appropriate data required from the Big Data sets. Patented Web Mining is also an effective and efficient way to find new prospects. Social media also actively helps in promoting the manufacturers.  Thus industrial manufacturers can increase their market share to a great extent by shifting to data-driven strategies.
Read more at: http://www.smartdatacollective.com/lbedgood/327457/how-manufacturers-can-use-big-data-acquire-new-customers

Many business have been extracting the benefits that come from applying big data as years go by. But there are still a few start-ups left who haven’t yet reaped its benefits. It’s crucial to know that now is the correct time to get into big data as it has considerably improved in the past few years. The reasons why big data should be employed now are:

• It keeps the data secure and all the sensitive data stay well protected in the system.

• It opens up brand new revenue sources and gives us a clear perception about the market which is very valuable.

• Big data provides an advantage of supplying better data which helps compete against others in the market when trying to innovate.

• It provides better visuals as well as it is very easy to set up big data in the business of any size.

In order to achieve accuracy of understanding customer’s experience the company executives have to come up with varied surveys and several tricky questions. We can gain a more empathetic experience of customers experience with the appropriate amalgamation of observations, sensors, data and designs. Being aware of the users experience is very critical for the technology design.
There are certain emotions which cannot be explained by words. Sensors can pick up these stress signals, combine them with the available textual data and thus identify the emotional triggers of a customer’s experience.
The comprehensive data on the experience of the user can be gathered by observing the way user interacts with the product or application. It exactly determines how the design is performing and whether it needs improvement or not.
Read more at: http://www.informationweek.com/it-life/can-data-teach-us-empathy/a/d-id/1321022?

Manufacturers, logistics companies, pharmaceutical companies and other energy companies have been using supercomputers to push the limits of research and discovery and answer questions that were not possible using other means. Companies are using cloud to solve problems which were once solved by supercomputers. Cloud computing has encircled high performance computing or HPC and supercomputers along with cloud solutions continue to advance. Companies in the auto industry, airlines, energy are willing to work with supercomputers to solve their big questions. Along with wide range of hardware, optimised software’s run efficiently on supercomputers. Such computing also helps companies to improve their state of art. The six different reasons which encourage companies to use supercomputers are that they have amazing computational capacity, the datasets fit properly into the memory, the interconnect is analytical, advanced modelling power, expansion, and speeds discovery.

Read more at: http://www.informationweek.com/it-life/supercomputers-unleash-big-datas-power/d/d-id/1321013

Big Data’s prospects are tremendous and will keep growing but only if we can keep up with it. Bangalore now monitors traffic in real time. It is only then that Data Analytics steps in, helping take calculated decisions for the strategic spots for sign boards and road markings. Thereby reducing congestion and allowing safer travel. We see how crucial the hardware, software, networking and data center are in the analysis of such data. Analytical data mining seems to be the majority of the effort now. Smarter data centers, networking practices and rapid storage technologies will be the start of a cycle of innovation that may be a few decade long. Ironically enough, in-depth analytics generates data that has greater need for computation and large storage systems that will allow rapid testing and deployment. Read more at: http://www.firstpost.com/business/big-data-paradox-2323460.html

Imagine your treadmill turning into a wonder machine which knows your fitness goals, takes inputs from you every morning and then suggests the best workout for you. Seems too good to be true. But not that dreamy for Sunil Koduri CEO of Zsolutionz, who believes that fuzzy logic will lie at the helm of realizing this dream. In simple words, fuzzy logic deals with approximate rather than exact reasoning and is most useful where computers are required to make decisions like human. Mr. Koduri, in his special guest feature in Inside Big data talks about how fuzzy logic technology can combine with the huge data generated by wearables to provide personalized fitness experience. No stopping here, all this data from wearables, health history information, and cloud data can be combined to create a huge ecosystem which is user centric to enhance user experience and also keep the healthcare providers in loop. To read the original piece of article, follow the link http://insidebigdata.com/2015/01/12/fuzzy-logic-key-connected-health/

We often struggle to extract real benefits from the large pool of data we have and volume of information is only going to swell in the future. What we need is to "learn to listen to the data".

1. Focus should not be on goal setting but on learning.


2. Many new voices- big data allows us to hear the voices of the silent. Like the customer voice and Workers voice. We can understand our team’s habits in real world by seeing their working behaviors. We can get the employees to tell us how to make the business model smarter and we can use this knowledge to design systems and incentives that make your business better.


3. Addition of sensor data enriches our understanding even further.

4. Wearables will open up whole new sources of data on human behavior and we will also hear from machines, buildings, even animals and oceans.


Here are a few tips on how to bridge that gap between big data and the real world. New product development is a field full of quantifiable unknowns. While working on a new concept, the decisions are based on evidence that proves that their idea outmatches the other alternatives. Identifying connections between the data on social media and online communities and the comparison of this with their competitors’ development policies then become their groundwork for smarter solutions. Visualization of data quickly converts the data is understandable forms. This speeds up the decision process. It is important to note that more data doesn’t always mean smarter data. The motive should be to capture relevant Read more at: http://www.innovationexcellence.com/blog/2015/06/29/actionable-ways-big-data-analytics-can-actually-improve-innovation/

Designing, a crucial concept, is the creation of a plan or convention for the construction of an object or system. We always plan before commencing to do something. Those companies which have successfully integrated both designs for aesthetics are the ones to have benefitted the most.  We can build strong designs based on our data and the following examples below emphasize on its use.

1) Smart car creation - Although Ford has been the first major car company but it has created a fresh company that have employed some technologies to improve the quality of the cars.

2) A/B testing real products - It is applied for the creation of efficient marketing choices.

3) Architectural design and testing - It is used to test the coherence of any structure.

To know more about this study, please follow the link: https://channels.theinnovationenterprise.com/articles/designed-by-data 

Big Data has always presented new avenues to make huge profit in almost every sector. However, it would be our short sightedness to associate big data benefits only for profit seeking organizations. Non-profit organizations are also increasingly using/gathering huge data to drive the social change they aim at. Sima Thakkar, content marketing manager at Umbel and founder of goodindiangirl.com, enlighten us about the big data projects carried out by different NGO's. To have a look at all these interesting big data initiatives driving the change we all want, follow the link http://www.smartdatacollective.com/sthakkar/323866/when-big-hearts-meet-big-data-6-nonprofits-using-data-change-world

As the number of smart wearable technology is growing, companies who have the potential to rapidly optimize their value chain are growing into a digital business through competitive advantage. Customer’s loyalty is also increasing with the changing rules of their digital lives. Their experience can be transformed by improving their understanding with analytics, enhancing top-line growth and through social media. To transform operational processes, process digitalization is must along with enabling proper staff and their performance management. Thus to transform business, every business is now digitally modified to make digital globalization. In this way, companies worldwide are adapting digital transformation with social media, mobility, big data analytics and cloud to make a better business plan than others. Read more about this article at:  https://channels.theinnovationenterprise.com/articles/digital-transformation-a-need-of-now