Office

35 Glebe St,Glebe NSW Sydney 2037,
New South Wales
Ph: (02) 8074 5610

1754, #210 Technology Dr San
Jose, CA 95110
Ph: +1 (646)421-8637

General: info@clavax.com.au
Sales: sales@clavax.com
Jobs: career@clavax.com

Social

Predictive Analytics Solutions with Sentiment Analysis

Analytics for Smarter Business Decisions

Know Customers | Deliver Experiences | Drive Growth

"Not All Analytics Are Created Equal" - Thomas Jefferson

Data is everywhere, created from different sources in different forms every day! Turning raw data into business impact
is what organizations need. Various forms of advanced analytics enable businesses to attain actionable
insights & drive more sales with informed decisions for a competitive advantage.

Ready to Move
Your Business Forward?

Get in touch with our expert data professionals to know your customers better, unlock hidden patterns and extract meaningful insights for business growth.

Request a Demo

Sentiment Analysis

Get a Deeper Understanding of What Customers Say

A successful business depends on keeping in touch with customers to know exactly what they think of your service offerings. With Sentiment Analysis, one can
extract, interpret and bring together feelings, opinions or moods buried in emails, forms, surveys, internal files & reports. Examining the users’
opinions help you communicate better & even pinpoint issues before it leads to bigger concerns.

Finding Business Value
in Sentiment Analysis

Data provided by customers on multiple social media networks can play a main role to enhance the services, make customers satisfied and boost the brand image. Using technologies such as NLP, Data Science etc. with analytics, we enable businesses to get insights in various ways.

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    Plan Marketing
    Campaign

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    Follow Users' Reactions
    to New Products

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    Improve
    Service Quality

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    Gather Intelligence
    on Your Competitors

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    Enhance
    Customer Support

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    New Trends from
    Social Media Platforms

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    Analyze Brand
    Reputation

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    Analyze Opinions of
    Organization's Staffs

Predictive Analytics

Forecast Future Outcomes Based on Past Data

We enable businesses to use analytics with Machine learning, Data Mining, and Artificial Intelligence concepts, which will
analyze historical and current data to understand products and customers for future predictions. This results in
making more proactive choices with actions that help in adding more business value to the offerings.

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Discover Business Benefits of
Predictive Analytics Solutions

Decision makers of the organizations can use the insights to predict developments, respond challenges
accordingly and capitalize on upcoming trends for reduced risks & better profits.

Reduce Customer Churn

Engage your customers and analyze their responses towards the product to give better service before churn occurs.

Fraud Detection

Analytics can spot patterns and detect fraudulent activities to reduce risks that may cost high business expenses.

Cater Customer Demand

Helps to uncover new market and customer trends to meet customers’ expectations with personalized experiences

Social/IoT

Establishing Relationships with IoT Devices for a Common Goal

For more impactful data-driven possibilities, IoT and Social Networking are combined to build networks where things act as the nodes
used for creating social links. Social IoT doesn’t mean smart objects getting connected to social networks but to the smart
devices that build relationships among objects, which eventually leads to the creation of social
networks of their own without human dependency.

Why Collaborate
Social Networking
with IoT?

With the Social IoT services, businesses can find deeper insights into consumer behavior for better user experiences, as things can build social relationships with other objects without the human need. Here are some of the main benefits-

  • Navigability

    To guarantee framework navigability and easier discovery of objects/ services, the structure of the social IoT can be shaped as desired. It also ensures better scalability as in human social networks

  • Effectiveness

    As the networks of interconnected objects can become larger and larger, models that are used during the study of human social networks will be useful to address IoT issues.

  • Trustworthiness

    A level of trustworthiness can be created depending on whether or not the objects are ‘friends’ or not. This will increase/decrease the degree of interaction among them & enable humans to measure the security of each object relationship

Making Advanced Analytics Work for Your Business

Don't let the evolving digital data scare you! Make sense of your business data with reliable intelligence
for critical decision making and competitive advantage

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Need Insights from Your Data?

We can help! It’s time to leverage the technology of analytics and drive more impactful data-driven possibilities from large sets of your business data. Schedule a demo today.

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