What We Do > Data Analytics > Contextual Intelligence Solutions

Contextual Intelligence Solutions

We help you generate customer-centric insights by applying contextual intelligence solutions and driving business outcomes.

Blogs | The Rise of a Data-Driven Work Environment: What Do Enterprises Need to Know

Generating actionable insights using intelligent solutions

Insights offering is one of our strengths as we have a deep domain understanding of verticals such as Media and Entertainment, BFSI, and Technology. Our contextual intelligence services cater to multiple fortune 500 clients where we have helped in data-driven decision-making by using our analytical expertise and domain experience.  

While traditional intelligent systems deal with statistical and rule-based approaches to learning from the data, consumer sentiment analysis and large-scale neural network-based deep learning techniques are now becoming the gold standard for developing sophisticated, intelligent systems. 

data science consulting services

What We Offer

  • Classification of a user-written review as positive and negative to come up with a rating provided for the product or service to enhance the user experience 
  • Automatic text summarization to represent a long text document in a concise manner to pass the intended message for recruitment firms to identify and filter candidates 
  • NER technique to identify the employer's name based on transaction text which enables investment firms to suggest investment options based on the pay date and also to auto allocate funds based on the allocation setting without user intervention 
  • Building conversational AI applications that rely on NLP to understand user queries and generate a relevant response. (Ex: Chatbots, which help in answering FAQs or booking flights or online reservation systems based on user text)
  • We deep-dive into data and provide intelligence around insights that help businesses derive value, i.e., understanding who your target audience is, what could be profitable and why and attributes making your customers risky 
  • ML-based allocation engine for micro investment products to provide real-time, seamless, and data-driven allocations for customers 
  • User profiling of customers to strategize marketing and product initiatives basis the profiles ensuring cost savings for the business  
  • Use the existing customer base to profile them based on their demographic, geographic, psychographic, and behavioral attributes to create customer personas such as high and low profitable customers, high & low-risk customers, etc.
  • Automated sentiment score prediction process   
  • ML-based algorithms detecting underlying consumer sentiment within unstructured textual data  
  • Make use of customer reviews, social media mentions, and open-ended surveys to learn about customer product relationships 
  • Making use of customer satisfaction and NPS survey data to identify customer pain points throughout their journey

Why SGA

Customer-Centric Insights

We fine-tune products delivering value enabled by agility, customer centricity, and actionable insights.

Flexible & Contextual Solutions

We enable a virtuous cycle of insight generation through a combination of context, analytical skills, and quality delivery.

Who We Work With

Insights

media and entertainment services

White Papers

Engaging Your Viewers With ‘Context’

The increased consumption of digital media content in the wake of the pandemic has led to the rise of the era of contextual advertisements. A data-driven...

Data Management & Analytics

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Leveraging Data Analytics in Retail

Retail has undergone digital transformation involving almost every business function. Being multichannel has become a norm as opposed to a differentiating...

COVID Tech Tango

White Papers

The COVID Tech Tango- Sparks Flying but Wheres the Money Headed?

SG Analytics conducted a survey of 200 key IT decision-makers in the US across the Banking and Financial Services, Healthcare, Retail, and TMT sectors to...

Unlock key predictive insights and deliver business outcomes through production deployment of latest data science models and enable accelerated growth.