SigmaWay Blog

A specific kind of data may be important for a few seconds or sometimes even a few years. Changing times catch up with all kinds of data. So what to do when data reaches its golden age? Archive! But it isn't enough to dump old data in a traditional data warehouse. We must think not only of data's immediate analytical value, but also at how to retain the value of data as it ages. This requires a new approach to archiving. We must ensure regulatory compliance and follow policies of data governance. We must provide access to data while preserving immutability of it or its metadata. Data should query enabled when needed, to generate new insights. Archives must be cost-efficient, enabling you take advantage of advances in data compression. Read more at : http://www.forbes.com/sites/teradata/2015/05/22/archived-but-accessible-retirement-planning-for-your-big-data/

Big data developments in 2015 show significant change in terms of data storing as well as data analyzing techniques. Measuring data agility is becoming more and more popular, as opposed to the conventional system of storage and management of data resources. The investment and scope of big data projects will be directly related to the impact and of an organization's response to changing trends among consumers, markets and competition. Another big trend organizations will focus on in 2015 is usage of data lakes. Using data lakes, Hadoop and BI systems and cloud computing, real time data analysis and decision making is expected to be fast. So the dynamic change in technology will bring revolution in terms of business decision making. Read more at: http://channels.theinnovationenterprise.com/articles/advancements-in-big-data-in-2015 

The Internet of Things (IoT) is one of the most hot and debated issues in context of Big Data Analytics. It provides huge and enormous volume of data and reduces the cost of obtaining data significantly. It is estimated that within the next five years there will be more than 50 trillion gigabytes of data. The huge volume of data may provide valuable insights into the market and may be useful for development of technology related to business expansion. Sometimes it may be a challenge to handle such large volume of data and extract useful information out of it. But with rapid progression in technology, analyzing such data is becoming less difficult, and it importance in modern business practices is rising exponentially.  Read more about this article at: http://www.content-loop.com/search-true-value-internet-things/

Yes, a $10 supercomputer swept Wall Street away. Braxton McKee, math and computer whiz, is tapping into the cloud to fetch all that market data inexpensively and built a software that employs Machine Learning algorithms to understand this data. Thanks to Cloud Computing and Big Data analytics getting cheaper, many startups and businesses can now employ their functionalities to provide services that are efficient, fast and scalable. The large amounts of data is mostly unstructured data, such as corporate documents, transcripts and social media and with the rise of Cloud Computing, the process is finally cost effective. Entities have begun leveraging cloud power to help hedge funds and other financial players run complex, big-data computer models. Maybe Cloud based Big Data analytics is the future. Read more at: http://www.smh.com.au/business/markets/10-hedge-fund-supercomputer-sweeps-wall-street-with-power-from-the-cloud-20150521-gh68hx.html

As cybercriminals are trying to penetrate into each and every system, leading to huge losses, some steps that can protect an enterprise from cyberattacks are: 1. It is important to enable full disk encryption technology, so that all data on the storage drives are scrambled, which makes it impossible to restore the original data, when in wrong hands.
2. However, a concern dealing with sensitive data can maintain a separate encrypted file volume for its most sensitive files, by installing it before the first usage.
3. It is preferable to use hardware-based encrypted USB flash drives for data transfer, which provides seamless encryption of data, as it gets copied onto the drive.
4. A private cloud hosted on a network-attached storage device can be maintained for data synchronization among privately-owned devices.
5. It is always preferable to use password managers in systems.
6. Multifactor authentication should be enabled, which requires an additional information for final authentication, like maybe a pin code sent via text message.
7. It is important to have some backup account (say email id) registered to get information of any password reset, which may happen in a cyber-hijack.
Read more at:http://www.cio.com/article/2933183/cybercrime/7-steps-to-protect-your-business-from-cybercrime.html

Have you recently asked the right questions from your CRM application? If no then here is a piece of advice from Inside CRM blog to upgrade your CRM application. It will bring more business agility, efficient workflow and will improve customer relationship.

But what are the right questions to ask:

• How old is your CRM solution? And if you can’t remember then here is your cue to upgrade.

• How many applications are you using to support your CRM?

• Does it grow with your business? 

To find your answers, click on the link: http://it.toolbox.com/blogs/insidecrm/how-to-tell-its-time-to-upgrade-your-crm-solution-67836

Data mining sounds like a monotonous activity on a pile of information, requiring little oversight. It is however, in the words of Professor Uwe Aickelin, University of Nottingham, "A discipline that blurs the lines between artificial intelligence, machine learning, statistics and other cutting-edge disciplines to unearth the golden nuggets that lurk within data." He explains how data mining is the effort to extract valuable information from unstructured or 'messy' data. Statistics fails to recognize patterns and it is here where Evolutionary Computation and Machine Learning is required. Industries have begun to understand the need to make sense of the large amounts of data out there and Data Mining is more important than ever now. Read more at: http://www.gizmodo.com.au/2015/05/why-data-mining-is-so-important/

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/

Flipkart , an e-commerce co., has decided to focus on social media, mobile interface and data mining to boost its position in the online retail market.  Data mining and technology improvements are going to take up a major role in the coming days. Up gradation in infrastructures and data centres are essential to maintain its position in the market.  The company also expects to achieve $8 billion dollar sales thus utilizing every resource at its disposal.  To know more, please follow:

http://articles.economictimes.indiatimes.com/2015-04-13/news/61102918_1_mukesh-bansal-binny-bansal-billion-day

When it comes to the Internet of Things (IoT), one of the biggest challenges is managing the data created by devices and their flow in and out of the system a developer creates. This data is vital for an efficient system. The initial step is where the data is created and enters the Internet. In the second step, a central system holds on to this data, organizing it constantly. In the third stage old data is sore for future needs. NoSQL platforms like Cassandra are a suitable fit for IoT systems. Distributed database systems like Cassandra have no 'primary' server that controls the rest. Each node in a cluster can handle the incoming transactions. Read at:  http://www.wired.com/2015/03/internet-things-data-go/

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

Microsoft recently announced upgraded model of SQL server, which includes reporting services, analysis services and Integration Services to help companies in critical decision making. SQL server 2016 includes non-clustered columnstore index support with columnar index in-memory or on-disk row store for deploying an operational analytics and it has polybase. SQL server 2016 made several improvements in analytical services such as enterprise readiness, modelling platform, BI tools, SharePoint integration, and hybrid BI. An SQL server 2016 analysis service also provides functional parity with SharePoint vNext and Excel vNext. To know more about SQL server 2016 features, please follow this link: http://sqlmag.com/blog/what-coming-sql-server-2016-business-intelligence

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

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/

Software as a service (SaaS) is a software licensing and delivery system in which software is licensed on a subscription basis and is centrally hosted. The advantages of the SaaS model are that it is easier to manage and that all the users have the same version of the software because updates and patching is done automatically. It grants global accessibility, making remote working models easier, which reduces costs and improves performance. The SaaS industry is now maturing beyond simple, historical financial measures towards a sophisticated operational measure in the form of a new Customer Success Metrics and Predictive Analytics.
Some of the giants in the industry are Salesforce, LinkedIn and Workday and while their services vary, the most significant one remains their cloud computing applications and platforms. Read more at: http://zeendo.com/info/top-10-software-as-a-service-saas-companies/

IoT technology is not only for retailers or e-commerce, but it can be also used by critical industries like oil and production for tracking events. Let's discuss how IoT can help these industries? Traditional method of communicating and controlling operations in large industries is SCADA (supervisory control and data acquisition). SCADA works by getting information from the central controller. But IoT sensitivity detectors can track information from both mobile devices and other communications. These devices not only send key messages directly to the sites, but also provide better and simpler communications along with sending information into headquarters. It provides lower cost and improved communications. To know more about, how IoT can help critical industries in better operation, please follow this link:  http://recode.net/2015/05/28/the-iot-and-the-needs-of-business/

A light-emitting, transparent and flexible paper has been created by Chinese researchers led by Yu-Zhong Wang and Fei Song (material scientists from Sichuan University) which glows and emits light at room temperature. This paper can be used for phones and tablets to make them lighter and eco-friendly. This material can bring a new thinking on future electronic displays and 3D printing papers.?Read more at:http://www.digitaljournal.com/technology/researchers-develop-light-emitting-paper-for-flexible-displays/article/433850

There are two general ways to navigate information to make a manufacturing decision. First is to use intuition, experience, and rules of thumb which helps us to take correct decisions. Second is a methodical approach which is based on analysis and objective information.  Bill Frahm (President 4M Partners LLC), writes in this article link about how metal-formers make many of their forming and die-engineering decisions based on the results of finite element analysis (FEA) simulations. Read more at: http://www.thefabricator.com/article/shopmanagement/decision-making-in-metal-forming