Why you should opt
pulseK
Uncovering business signals through data science!
Managing real-time social data is becoming more crucial
as its influence on online customer opinions continues to grow.
pulseK, based on its 20.5 billion documents and big data analysis,
will help you find your business signals.
pulseK, the online media deep analysis service.
pulseK is a real-time analysis service that deeply analyzes the current online
issues using AI-based data science to discover business signals.
BENEFITS
Benefit 01.
Discovering Insights for Business Strategies
When you need new product development and fresh ideas to
enter a new market, you can use pulseK to understand the market
by using its monthly trends and competitor analysis features
provided according to the specific industry.
Benefit 02.
Making Work Efficient & Reducing Costs
By using pulseK to quickly read the changing market trends,
you can enhance the success rate of new products by predicting
product concepts. In particular, you can minimize the trend investigation
and analysis time required for marketing and R&D to enhance work
efficiency and reduce costs.
Benefit 03.
Faster Issue Analysis Than Competitors
With pulseK, you can complete the collection and analysis
process within an hour after releasing a post to outlets such as
X(Twitter), Instagram, and other communities. You can identify
real-time issues, risks, and trends faster than your competitors.
Benefit 04.
Risk & Anomaly Detection - Market Risk Sensing
Utilizing pulseK allows you to streamline work for the team dedicated
to risk management.
You can automate your risk monitoring process and improve task
flow at reasonable costs by handling the work with an AI-based solution
instead of going through domestic or overseas press monitoring agencies.
Benefit 05.
Policy Response and Demand Analysis
When you need analysis of responses and demands regarding various
policy issues, such as the economy, welfare, and culture, you can draw
implications using pulseK’s features, such as current issue discovery,
policy interest level analysis, positive and negative trend analysis,
public opinion response analysis, and key dispute analysis.
Based on the results, you can evaluate your policy fulfillment status
and utilize the data as a foundation to set policies at the public’s eye level.
FEATURE
Real-Time Monitoring
You can analyze online topicality and dissemination trends by tracking real-time issues and positive or negative reactions.
Real-Time
Trends on mentioning the keyword for analysis in units of minutes and hours and identification of viral issues
Factor Analysis
pulseK divides the distribution of emotions through the AI model to identify the cause of the customer’s emotions regarding the brand and company.
14 Emotions
Analysis of 14 emotion causes classified according to the deep learning AI model
Insight Analysis
You can discover marketing and planning points that reflect customers’ interest and attention as well as predict future trends.
Issue by Trait & Region
Detailed analysis according to each trait, including time, place, and occasion
Future Signals
Applies interest and response levels within the online environment to calculate future trends and value of the keyword to be analyzed
Campaign Performance Measurement
You can uncover the responses of customers according to the digital marketing activities and the performance of campaigns focused on influencers.
Influencer
Management of interests and issues spreading focused on online influencers
Campaign Performance
Proposes performance measurement standard for campaign operations based on customers’ response
TECHNOLOGY
Get into the experience.
The most advanced analytics service, pulseK.
Concept Map - pulseK
USE CASES
pulseK’s rapid data analysis and prediction technologies
were used to enhance work efficiency and reduce costs in various
areas available for the use of big data, which include election results,
public opinion analysis, trends, and monitoring.
CASE 01. 2017 Korean Presidential Election Vote Count Broadcast’s Online Result Prediction (MBC)
Introduction effect
- Quantified digitization of the influence level of online issues and users’ response on offline elections
- Real-time analysis of support rate available even during blackout periods with no poll surveys
- Succeeded in final vote share prediction through converged analysis of indexes (margin of error compared to final voting rate: -1.94% to +1.65%)
Major Features
- Indexing of online interest level based on each candidate’s online reputation
- Analysis of correlation between real-time voting rate and interest level of each candidate
- Quantified online issues and interest level of each candidate in real time to calculate expected vote share (compared with other surveys such as offline exit polls)
CASE 02. Big Data Analysis of Public Opinion Regarding Current Policy Matters for Communication of Policies (Ministry of Culture, Sports and Tourism)
Introduction effect
- Deduced overall and diachronic analysis results compared to past efforts that consisted only of partial analyses due to lack of data
- Obtained reference for long-term national policy setting and decision-making based on the reliability of analysis results
- High satisfaction from various government agencies thanks to quick analysis and wide coverage for large amounts of data
Major Features
- Evaluated policy fulfillment through analysis of the public’s views and perceptions regarding policy
- Analyzed public satisfaction on key policies by identifying correlations and causal relationships between analysis results
- Provided in-depth consulting on current policy matters through the policy fulfillment evaluation and public opinion analysis
CASE 03. Risk Management and Online Public Opinion Monitoring Based on Data (KT&G)
Implementation Effect
- Exceeded the limits of manual monitoring through the service and established a real-time monitoring environment
- Converted into a total real-time monitoring system and overcame issues of missed monitoring areas that occurred due to lack of personnel
- Achieves work efficiency by detecting negative issues of companies beforehand through weak signal analysis to let them prepare countermeasures
Major Features
- Real-time risk detection alert
- Real-time online press monitoring and detection of risk factors
- Specialized analysis in business management matters such as ESG
CASE 04. Analysis of Macrotrends for the Publication of Trend Korea (Consumer Trend Analysis Center)
Introduction effect
- Utilized to test hypotheses on Korea’s emerging trends in 2021 through data analysis
- Utilized to deduce hypotheses on Korea’s hot trends in 2022 through strong/weak signal analysis
Major Features
- Verifies macroeconomic trends hypotheses
- Analyzes basis for setting hypotheses on macroeconomic trends
- Investigates and analyzes micro-level phenomena that constitute the macroeconomic trends