SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

CRM Analytics

CRM (customer relationship management) analytics comprises all programming that analyzes data about customers and presents it to help facilitate and streamline better business decisions.
CRM analytics offers insights to understand and use the data that is mined. CRM is used in Customer segmentation groupings, profitability analysis and customer value, personalization, measuring and tracking escalation and predictive modelling.
CRM analytics can lead to better and more productive customer relationships through the evaluation of the organization's customer service, analyzing the customers and verifying user data. CRM analytics can lead to improvement in supply chain management.
A major challenge is to integrate existing systems with the analytical software. If the system does not integrate, it is difficult to utilize collected data.
 
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Showcase your talent at a hackathon!

 

If you belong to the world of Data, hackathon is not a new word to you. Several organizations host hackathons online but how do you pick the right one for yourself? Especially if you are a beginner?

What you do in a hackathon is only an easier version of what your job as a data scientist would require. From personal experience, Kaggle community is a boon to budding aspirants! It does wonders in enhancing one’s skillset by providing a competitive exposure.

The dataset on Kaggle and other platforms is created for the purpose of competitions and giving the participants a taste of work that data scientists are expected to do. However, real world data is much messier than what you would work with on these platforms. Nevertheless, it’s a great way to polish and upgrade your skills.

Read more at: https://analyticsindiamag.com/how-much-is-kaggle-relevant-for-real-life-data-science/

 

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Virtual Reality and Analytics

If you’re not tracking VR analytics, how do you know what works and what doesn’t? How do you prove ROI?

Utilizing quantitative and qualitative data can put you ahead of your competitors.  After all, without analyzing your data within VR is just guess work.

Doing this gives businesses the ability to track users in a 3D space instead of 2D screens. Traditional 2D tracking metrics such as clicks, swipes, scrolls or taps are certainly not the best ways to capture the depth of data available in these 3D environments.

VR specific metrics include Eye tracking to see what draws their attention, user interaction with specific objects, tracking 3D spatial data and biometrics to measure the emotional state of users to name a few.

These metrics are used by businesses to develop better products, train employees effectively and more efficiently and to understand customer buying behaviour.

Read more at: https://www.tobiipro.com/blog/why-vr-analytics-eye-tracking/

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Why do AI systems need human intervention?

Each one of us have experienced Artificial Intelligence (AI) in our daily lives- from customized Netflix recommendations to personalized Spotify playlists to voice assistants like Alexa – all of these show how integral AI-enabled systems have become a part of our lives.

On the business front, most organizations are heavily investing in AI/ML capabilities. Whether it is automation of critical business processes, building an omni-channel supply chain or empowering customer-facing teams with chatbots, AI based systems significantly reduce manual work and costs for businesses leading to higher profitability.

However, Machine-learning systems are only as good as the data the are trained upon. Many AI experts believe that AI should be trained not only on simple worst-case scenarios but also on historical events like the Great Depression of 1930s, the 2007-08 financial crisis and the current COVID-19 pandemic.

Today, as humans rely on AI, they cannot leave AI to function by itself without human oversight because machines do not possess a moral or social compass. AI is as good as the data it is trained upon, which, may reflect the bias and though process of its creators.

Read more at: https://www.lionbridge.com/blog/3-reasons-why-ai-needs-humans/

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How businesses are winning with Chatbots

No more will you hear about Chatbots being the next big thing. They’re already here and here to stay! Top domains where Chatbots are proving beneficial are:

1.      Ecommerce and Online Marketing: Messenger Chatbots have higher open rates and click through rates than Email, as a result of which many online marketers have begun using Chatbots as a way of getting website visitors’ information. Redirecting the customer to the correct sales channel, content gamification and relationship marketing are additional benefits it brings to this domain.

2.      Customer Service: The best use of technology right now is in automating the easy questions that get asked over and over again with a live agent takeover whenever the bot cannot answer a question. When the bot is stumped, it automatically sends the questions to a live agent, listens to the answer and then learn how to answer such questions in future.

3.      Travel, Tourism and Hospitality: Bots in this space are being successful on a number of critical fronts- they increase revenue, increase customer satisfaction, increase engagement and brand loyalty and lower costs via automation.

4.      Banking, Financial Services and Fintech: First and foremost, bots can help warn you about issues and dangers with your bank account. Bots can give you suggestions on what to do with your money- it can give you a cost breakdown of where you are spending or how can you move money around in order to save more money. Banks are also using chatbots internally to help automate tasks.

5.      HR and Recruiting: Chatbots can engage applicants and pre-screen them and make sure they’re qualified by asking a few questions. They also help in easing the process of on boarding new employees.

 

What other uses could be coming next? Read more at:

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Data Science to boost your Brand

By definition, Data Science is a multi-disciplinary field that uses scientific methods, algorithms and systems to extract knowledge from structured and unstructured data. It processes enormous volume of information to draw meaningful conclusion and help businesses grow and expand.

Some of the biggest advantages analyzing data can give to your brand include improving efficiency, cut costs, boost sales, better recruitment, identifying opportunities and targeting the right set of audience to name a few.

Focusing on the practical ideas, four ways you can use big data to raise brand awareness include:

1.      Personalization: Analyzing consumer related information helps in understanding their preferences on an individual level. You can customize offers so as to fit each user individually.

2.      Choose the most relevant marketing channels: Brand awareness largely depends on marketing strategy and the channels you choose to promote business. For instance, Instagram marketing may help you attract younger users while marketing on LinkedIn gathers business professionals.

3.      Create better content: Data analytics enables you to learn about the buying persona such as education, relationship status, professional status, personal interests, demographics, leisure time activities, etc.

4.      Quality reporting: Using data science you can figure out the strengths and weaknesses of the brand, website traffic, social media performance and many other features.

 

Have you ever thought about incorporating data science into your business strategy?

Details at: https://www.business.com/articles/drive-business-growth-with-analytics/

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IoT explained!

Internet of Things is described as a digitally connected universe of everyday devices which are embedded with internet connectivity, sensors and other hardware which allow communication through web. From health tracking Fitbits to Smart blackboards, IoT has made everything around us smart. On a smaller scale, it would be switching on a TV using your phone and on a larger scale planning smart cities with sensors all over.

Why is IoT so important?

The sensors installed are capable of sending information and/or receiving information and acting upon it. These are beneficial as they help improve and innovate lives of customers, businesses and society at large. Businesses have invested extensively in R&D to innovate and develop out-of-the -box products.

Read more at:  https://www.zdnet.com/article/what-is-the-internet-of-things-everything-you-need-to-know-about-the-iot-right-now/

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Random forests: a collection of Decision trees!

In literal sense, a forest is an area full of trees. Likewise, in technical sense, a Random Forest is essentially a collection of Decision Trees. Although both are classification algorithms which are supervised in nature, which one is better to use?

A Decision Tree is built on an entire data set, using all the features/variables while a Random forest randomly (as the name suggests) selects observations/rows and specific features/variables to build several decision trees and then average the results. Each tree “votes” or chooses the  class and the one receiving the most votes by majority is the “winner” or the predicted class.

A Decision tree is comparatively easier to interpret and visualize, works well on large datasets and can handle categorical as well as numerical data. However, choosing a comfortable algorithm for optimal choice at each node and decision trees are also vulnerable to over fitting.

Random Forests come to our rescue in such situations. Since they select samples and the results are aggregated and averaged, they are more robust than decision trees. Random Forests are a strong modelling technique than Decision Trees.

Read more at: https://www.analyticsvidhya.com/blog/2020/05/decision-tree-vs-random-forest-algorithm/

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Cyber security tips

Cyber security is evolving, and it is not advisable not to follow the techniques that you have already used to mitigate risk. This article link gives you some suggestions to get your company well-equipped for 2020 and all the threats it could bring. They are: Implementing AI Into Your Strategy, Keep All IoT Devices Secured, Teach Employees About BEC Phishing Scams etc. Read more at: https://it.toolbox.com/guest-article/6-it-cybersecurity-tips-for-2020

 

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Know all about Managed Service Provider

Nowadays, managed service provider or MSP is becoming important as several organizations outsource IT processes. It is a good sign, but you need to have a MSP contract and must know what kind of information to be included. This article tells us about six things that you need to include in an MSP contract. Read more at: 

https://it.toolbox.com/articles/6-things-to-include-in-your-managed-service-providers-contract

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Know about different types of mobile geolocation marketing

Marketers are discovering different ways to utilize location marketing but, the most prevalent is mobile geolocation marketing. According to a report, it is found that almost 9 in 10 marketers found location-based advertising and marketing resulted in higher sales, further supported by growth in their customer base and higher customer engagement. This article explores different types of mobile location-based marketing. Read more at: 

https://www.business2community.com/marketing/location-based-marketing-on-the-rise-02242118

 

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Predictive analytics and IoT Data

It is a fact that Internet of Things or IoT is becoming predominant in business as you can gather data to analyse at real time. But, if it is not used diligently, it will be a cost and not an asset to the company.  Traditional business intelligence shows only IoT data from the past but with predictive analysis tells what to do with that data now. This article tells us some common useful applications of predictive analytics on streaming IoT data. Read more at:

https://it.toolbox.com/articles/4-useful-applications-of-predictive-analytics-on-streaming-iot-data

 

  

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Know more about managing business uncertainties

Business always involve uncertainty even if the economy is conducive to do business as clients come and go, competitors enter and leave the market; leases are not renewed, technology changes overnight. This article give us valuable tips on how to manage business uncertainty easily. Read more at: 

https://www.business2community.com/strategy/5-tips-on-managing-business-uncertainty-02242242

 

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How to keep customers happy with the help of ERP system

It is a fact that ERP or resource planning platform can manage the key business activities like production and supply chain operations. But, nowadays, this ERP system when integrated with machine learning technology, also plays a vital role in keeping your customers happy. And this ERP system can have greater control over the products they eventually receive, thus cutting down on errors. Read more at:  

https://it.toolbox.com/article/how-erp-can-help-boost-your-customers-satisfaction

 

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Why B2B brand awareness is important

Many businesses spend a ton of time, effort, and budget to get visitors to B2B website but do not put any effort into staying in front of a website visitor once they leave the website.  Building brand awareness is important as creating brand awareness is critical to the success of your business. There are many reasons as to why it is significant to create brand awareness. Read more at: 

https://www.business2community.com/b2b-marketing/7-b2b-marketing-strategies-to-build-brand-awareness-02233409

 

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Know the trends of performance management

According to a research, it was found that 58% of companies do not even believe performance management is an effective use of time. And that is why nowadays, organizations are continually updating their performance management systems to achieve better results and improve the process. This article explores some of the most common trends that can add value if implemented effectively. Read more at: 

https://www.business2community.com/leadership/8-tips-for-improving-performance-management-02234109

 

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Need for social media optimization for small businesses

Nowadays, the internet is transforming the way companies find and reach their customers. It is a fact that these small businesses are no longer reliant on billboards and television ads to gain visibility as they can launch powerful, focused campaigns to target their specific niche in the market. In a study it was found that organic searches are favored 94% of the time, and according to another research, the first page of links receives 92% of all clicks. This article explores why a strong search engine optimized content strategy is needed for small businesses. Read more at : 

https://www.business2community.com/seo/seo-for-startups-how-your-business-can-benefit-02233145

 

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How Artificial Intelligence is redefining industry

The Artificial Intelligence industry is growing at an exponential rate and the artificial intelligence market is projected to grow in value to $191 billion by 2024 with a CAGR of 37%. Artificial industry has the capability for machines to make decisions based on logic, data, and information from the past is impacting several industries. From self-driving vehicles to chatbots, thus transforming the way business is done on a global scale. Read more at: https://www.business2community.com/business-intelligence/artificial-intelligence-is-redefining-these-5-major-industries-02232853

 

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Trade-off between Opaque and Transparent AI

AI can be classified into Opaque and transparent Systems. Opaque AI is the black box where it is not evident why AI operates in a certain way. Though it is effective,it just means that there is higher risk associated with predictions and insights. Transparent AI is when technology does explain how it reaches its decisions using data at hand.But a company often prefers opaque AI, if the insights provided help in actually growth of the company. The need for transparency is a constraint on AI. And opaqueness might prove more effective. There is a trade-off between the two. When GDPR comes into effect,banks in The EU will be legally obliged to explain how they operate. Opaque AI will not work here ,although it might be more effective.Businesses should be able to control the kind of AI to be used in a given situation,its ethics and accuracy. Read more at: https://cognitiveworld.com/articles/choosing-between-opaque-ai-and-transparent-ai

 

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Connected Car Network Transforming the Transportation Industry.

To improve road safety and to help build the infrastructure for self driving cars,government and private companies are coming together to build connected-car platforms. The Utah government has partnered with Panasonic on the smart road network. They will be working on installing sensors on road. These will collect and transmit data that will alert vehicles,staff and control traffic signal as well. CIRRUS,an IoT application program is the data platform used that assists data sharing among transport departments,network operations and vehicle information systems using V2X as a data source. This emerging technology will make roads safer and less congested.Carmakers too are working on the connected car network to incorporate them into their self driving cars. The market for vehicle connectivity is predicted to be huge. Read more at: https://www.aitrends.com/selfdrivingcars/connected-car-platforms-making-headway-microsoft-taking-a-lead-role/

 

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