SigmaWay Blog

Predictive analytics help you how to make money. Angela Hausman, PhD (marketing professor at Howard University) writes in her article about some possibilities to improve bottom line by using predictive analytics: 1. Recommendation algorithms
2.Manage the customer journey
3.Segmentation based on CLV (customer lifetime value) or other variables
4.Optimize deployment of company resources
5.Hire the best employees for a job
6.Detect fraud. Using predictive analytics, firms segment their customers on more influential variables. Predictive analytics can help to optimize deployment of resources. For more read: http://www.business2community.com/business-intelligence/want-buy-using-predictive-analytics-01543154#eTFpvvsFFDwam4MG.97

The cyber security budget has increased in the last two quarters in a massive way due to new internet of things threat in the cyber space. A research says that in 2015, investments in cyber security, increased by 78% and valued $228 million. It is suspected that it might reach $400 million at the end of 2016. But why such huge investment? The answer remains in our day to day life schedule. From residential information to car insurance details, every part of our life and economy is data driven and highly networked in cyber space. Earlier the hackers have a mentality to breach the confidentiality in the social space or E wallet arena. But now they are targeting more mainstream and essential services. This breaching of firewall could harm us in the daily life situation. So to protect this condition, huge investments are mandatory which will lead generating more revenue for security startups.

To read, follow: http://readwrite.com/2016/05/19/cybersecurity-investment-iot-sl4/

Digital marketing is the most essential parameters to grow your business. But the strategies have to be taken to optimize the revenue model by this marketing technique. Most customers used to buy products online and helps to grow the business. So your presence in social platform is highly important, but at the same time social campaigning is also playing a crucial role. To design a proper landing page, create it interesting by providing important data and specific search items. To maximize the brand reach to the customer keep up to date your website and make it more relevant on the timeline, start by searching related topics in your industry which you think people will find interesting. Use search tools like Google Trends and Google AutoComplete to make your job easier and in the final phase understand the progress of your marketing process.

To read, follow: http://www.huffingtonpost.com/entry/5-digital-marketing-tips-_b_10049392.html?section=india

Social media presence escalades the business scenario of the company. Before you publicize your business, you should know few touch points in social media marketing. You should take a close look on your regular followers and try to understand their perception regarding your business. Encourage your customers to join your social campaigning. Make a deep search of relevant and influential people who can boost your business via social platform. Sometimes post something new and fun without the use of social sync tools and auto-follow apps. Post interesting and unique things in the social wall to get popularity. Don't limit your business profiles to only the most popular social media sites-like Facebook and Twitter. With the exception of your time, small business social media marketing is free so take advantage of the many social networking sites out there.

To read, follow: http://www.smallbusinesscomputing.com/emarketing/9-easy-social-media-marketing-tips-and-tools.html

Nowadays, organizations are gathering data by integrating Customer Relationship Management (CRM) tools with business intelligence (BI) platforms. The difference between CRM and BI is that CRM is a customer database to store information on interactions and sales history while BI provides strategic solutions for overall business functioning, and not just customer sales. But, now the question is how to integrate CRM and BI platforms. Annie Bustos (a valued contributor to Business 2 Community) writes in this article link about some best practices to ensure a smooth integration between these two powerful tools. They are: Understand what you are looking for, populate CRM with good data, create a real-time transfer of data, refine customer segmentations, leverage the data for testing and always ask for help.  

Read more at: http://www.business2community.com/business-intelligence/6-tips-integrating-business-intelligence-solutions-crm-01541585#yZlXhSkAZwpT5ewK.97

With the advent of technology growing and advancing day by day, we need to keep up or lose out in this race. Organizations keep upgrading their technology for higher productivity of work and higher efficiency with decreasing costs. The problems which the people in the organization face are learning about the new and complex technology and skills. Technology is transforming and if in workplace people want to excel they have to keep learning. To know more, please read the article at -: http://www.timesofmalta.com/articles/view/20160327/business-news/Technology-is-transforming-business.606958

There are many ways by which anyone can optimize their website based upon user data. Four different ways to use analytics to improve the website and conversion rates are as follows: Do continuous testing, know what devices readers are using, measure site speed, pinpoint any traffic leaks. Read more at: http://www.hostgator.com/blog/2016/05/02/4-hidden-gems-in-google-analytics/

Advanced analytics is the procedure by which associations can make an interpretation of information. Retailers now can join their information together, i.e. From organizing information to unstructured information, to the in - store checking of client conduct, to outside elements and inspect it in insightful approaches to discover examples, estimate and make forecasts, and let you know how to tackle an issue. Read more at: http://enterprise.microsoft.com/en-us/industries/retail-and-consumer-goods/advanced-analytics-the-most-promising-trend-in-retail/

Business houses are now acknowledging big data. Many organizations are realizing how much Big Data affects employee learning. Additionally, Big Data can help organizations in order to gain higher efficiency, maintenance and engagement. The ways in which organization's learning programs can benefit from big data analytics are: Hyper-personalize learning to enhance business performance, higher return on Investment (ROI), Visualization i.e. Better learning, i.e. Big Data is equal to better business opportunities. Read more at: http://tech.firstpost.com/biztech/why-big-data-analytics-is-a-big-boon-for-organisational-learning-312790.html

The U.S. Department of Homeland Security (DHS) recently highlighted some new cybersecurity technologies that may have potential as commercial products. Some of them are - REnigma, Socrates, PcapDB, etc. To know more, please read the article by Tim Greene (covers security and keeps an eye on Microsoft for Network World): - http://www.networkworld.com/article/3056624/security/8-cyber-security-technologies-dhs-is-trying-to-commercialize.html

The most common hurdle for healthcare organizations with data analytics programs is consistent information from unique sources. An enterprise resource planning (ERP) can manage operational staff data, but cannot store patient-care related data, and therefore conducting a financial analysis of a patient care requires some imagination. If the analysis involves a nursing unit, the study may include clinical, operational staff data captured from the ERP such as shift worked, number of shifts worked for the current pay period, temporary or permanent resource status, educational background and professional credential levels. Linking this data to patient care data may require the shift date, patient bed assignment and other data elements. This type of analysis would only be possible on second- and third-generation data systems that can process different data languages for analysis and research. Read more at : http://healthitanalytics.com/news/goals-and-guidance-are-key-to-healthcare-big-data-analytics

More than half of all projects aren't completed within budget or on time. An analytics initiative can fail for a variety of factors: First, there are misconceptions about analytics. It's also not about data. Rather, it's a way to predict future strategies and support decision-making. Second, analytic projects fail when the data quality is inferior. Third, states and localities suffer from a talent shortage when it comes to finding people who can successfully run an analytics project in the public sector. Last, measuring the impact of analytics in government is  more complex than in the private sector. For more read: http://www.governing.com/columns/tech-talk/gov-data-analytics-failure.html

Data and analytics capabilities have become a top priority for businesses. Many organizations use the discipline to gain a competitive advantage and improve the customer experience. Nowadays, organizations place a high value on data and analytics. Read more at: http://www.emarketer.com/Article/Marketers-Analytics-Strategies-Extend-C-Suite/1013901

A business must know their audience. The risk starts when a business does not have customer insight, disorganized measurement systems. According to a research, more than half of direct traffic comes from organic search, but due to browser issues, Google may not be able to detect this. It's important to accurately pinpoint the traffic's source and medium (organic search (organic), cost-per-click paid search (CPC), and web referral (referral)). To know about referral traffic, read : http://www.skyword.com/contentstandard/enterprise-marketing/how-to-deal-with-direct-traffic-source-data-in-your-content-analytics/

As client information volumes grow, more advertisers depend on predictive analytics programming to focus on their clients. With predictive analytics, advertisers use information science-based strategies to segment databases. Then they figure out which practices and properties of an organization are measurable, and after that identify a pool of eminent clients that match those qualities. Predictive analytics are truly encouraging on the grounds that can begin taking the advanced non-verbal communication and particular practices and utilize that to manage  advertising venture. Read more at: http://searchcrm.techtarget.com/feature/Predictive-marketing-tools-trump-old-fashioned-gut-feel

Nowadays, we hear about data science technologies like machine learning and data modelling. But, now new cloud services for machine learning is gaining importance and more do-it-yourself (DIY) tools will emerge for sectors like financial services, healthcare or retail, predictive sales or marketing. Read more at: http://www.business2community.com/b2b-marketing/diy-predictive-modeling-pitfalls-opportunities-01527315#PHERr4OuiDd4QyeJ.97

Predictive marketing uses machine learning to deliver more accurate insights to encourage sales. The primary objectives are measuring customer behavior and audience insights, campaign effectiveness, calculating and improving customer lifetime value and customer retention. Predictive analysis can achieve these goals by learning from patterns within the data that are derived from customer touch points. Read more at: http://www.emarketer.com/Article/Using-Data-Predictive-Analytics-Helps-B2Bs-Throughout-Funnel/1013868

Supply chain management is a field where Big Data and analytics have many applications. Organizations apply big data analytics in supply chain management. Supply chains have been driven by statistics and quantifiable performance indicators. But the sort of analytics, which are really revolutionizing industry today are real time analytics. Traditional data monitoring involves sales and order tracking and point of sales data. It is now being supplemented with weather, events and news, with the aim being to create insights in the short term. For more read the article written by Bernard Marr (contributor) : http://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management/#5c0319b44c2d

Big data analytics is a useful instrument for empowering organizations to become more resilient in the face of increasing cyber-attacks, according to a software market analyst and IT consultant. Attackers inject malcode into genuine processes by process hollowing and install deception techniques. They send data outside an organization. Analysis of security log data and other security system data provides useful insight for improving organizations' cyber defense capability. For more read the article written by Warwick Ashford (security editor) : http://www.computerweekly.com/news/450288411/Big-data-analytics-a-useful-security-tool-says-analyst

A decade ago Google is the only platform predominantly present in the digital media section. It was the only online business development platform. Later on Facebook developed their simpler interface and using their huge popularity and reach finally put a step on the market. Clara Shih, who founded an enterprise software company called Hearsay Social in 2009 and serves on the board of Starbucks, uses her book as a plea and a guide to help business executives and professionals become productively involved in their firm’s social business and digital strategy. She has eventually analysed all the red flags, opportunity and diversity in this digital media section and how online PR, social media and mobile messaging empowers every business enterprise. To know more about her entrepreneurial insight, follow: http://www.forbes.com/sites/kathleenchaykowski/2016/04/26/why-social-media-is-everyones-business-yours-included/#1bfc33753214