Data Analytics - Seacrest Technology

Business Intelligence

Data and Text Analysis Software & Solutions

Powerful start-to-finish analytical tools
Predictive Modelling & Knowledge Discovery tools for business and enterprise users
Easy-to-understand actionable results enabling customers to make informed data-driven decisions.

PolyAnalyst™ Software

PolyAnalyst™ supports all steps of a data analysis process from data loading and manipulation, to advanced text and data analysis, and to custom reporting. Whatever is your business task and your skills level, whatever is your data source, challenge and language of your documents.

It is the leading system for extracting actionable knowledge hidden in piles of free text and structured data. PolyAnalyst will be your tool of choice for turning data into valuable business insight.

Access nearly any source of data, and merge data from different sources
Whip dirty data into shape with powerful data cleansing operations, such as imputing missing values and correcting spelling errors
Choose from a broad selection of statistical and machine-learning algorithms, replete with several cutting-edge natural language processing tools
Create stunning reports that summarize and communicate your insight

View Specifications

TEST OUT SAPREMO™

You can import text data you have or add a link to an interesting article you found online for a quick analysis. Review the sets of results for keywords extracted, facts identified, and sentiments used. The SAPREMO DEMO just scratches the surface of the power of our Natural Language Processing tools.

Try It Out!

Seacrest Technology Ltd. + Megaputer Intelligence Inc.

Seacrest Technology Ltd. is the official Reseller & Distribution company for Megaputer Intelligence Inc. software solutions for Africa

Official Partners

POLYANALYST REPORTS

Seacrest has put together a collection of interactive reports generated by PolyAnalyst. Explore the ways our Data Analysis Consultants have summarized insights in innovative ways for textual data insights or specific use cases including fraud, customer feedback, and the impact of COVID-19.

Reports Gallery

Business Solutions

Use Cases

COMPETITIVE INTELLIGENCE

Gathering data from multiple sources, identifying emerging threats & opportunities, monitoring trends and developments in the market
With CI you can:- stay ahead of your closest rivals- differentiate yourself from the pack- avoid pitfalls and innovate successfully- identify areas of opportunity- learn from other companies mistakes

SOCIAL MEDIA ANALYSIS

Use social media data sources to analyze customer reviews of products and services.
Social Media benefits: – generates brand exposure for businesses – collects candid feedback from customers – provides marketplace insights
What It Will Do – Target and address customer concerns – Easily engage with your audience according to their needs – Monitor sentiment trends over time – Gain insight on competitors

FRAUD DETECTION

Fraud and abuse cause significant losses in all major lines of P&C insurance: automobile, home, and worker’s compensation. Sometimes fraud may go undetected for decades because investigators are overloaded by the sheer amount of data and are looking only for already discovered fraud schemes.

Go beyond the limitations of standard rule-based systems that only detect known fraud schemes. It’s the new schemes that deviate from typical patterns that will hurt you the most. Derive insights from all available data including structured data and text notes from disparate sources.

CONVERSATION ANALYTICS

Why analyze call center data?

Unique data- Unprompted free response- Extracted by caller
Unique Insights- What people really think and ask- Why they think that way
Goals:- learn from feedback- monitor trends- discover new issues- evaluate call center performance- improved customer experience- new reports made automatically every week- early response to customer needs

SENTIMENT ANALYSIS

Sentiment Analysis, also known as Sentiment Detection or Opinion Mining, is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study people’s opinions, appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes.
Solution Domain Selection- Finance- Insurance- Hospitality- Technology

CUSTOMER SURVEY ANALYSIS

Goals- Understand customer responses- Transform the responses to actionable customer insights- Adapt the business actions to meet the customer need
Key Insights- Root causes for being dissatisfied- Key factors for being loyal- How to overcome neutrality
Helps with- Customer experience enhancement- Specific and series feedback- Competitive Intelligence

Need More Details?

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