WE’RE A DATA FIRM

INVOKE brings together unique skills and expertise across various fields.
Everything that we do revolves around data.

WHY DATA

We are in the business of extracting data, processing data, exploring data, analysing data and modelling data to understand behaviours of the subject matter that we study.

We use data to profile how 15 million Malaysian voters would have voted in the 2018 general election. Our profiling was built from algorithms that represent how a voter behaves against a set of “predictors”.

We developed machine learning models so that we were able to predict how a voter would vote, given his/her personal traits. The outcome speaks for itself.

We were the only organisation that predicted the outcome of the general election correctly. Our forecast of state election results in the Peninsular was also most accurate: we predicted correctly the outcome of 9 state administrations (out of 11).

Our final tally of the number of seats won by the respective major coalitions was within 95% accuracy.

MACHINE LEARNING

We take machine learning beyond buzzwords. For every task we focus on, we approach the problem solving process
methodically to acquire knowledge from the data sets to produce machine learning solutions. The outcome of our work is a predictive understanding of the behaviours of any subject matter that we work on.

PREDICTIVE OUTCOME

The possibility to predict an outcome (from a set of predictors) brings tremendous value to
businesses and operations. Some of the predictive machine learning models we had built.

MODELLING

We can predict how a person will vote if we know certain information about him/her: age, gender, locality, ethnicity, education, employment etc.

BUSINESS VALUE

We provide a much more accurate political, economic and social risk assessments to businesses due to the reliability of the predictions derived from the machine learning political modelling

MODELLING

We can predict a person’s attitude (at a particular time) towards spending on certain items, or preference of one brand over the other, or receptiveness to a product, if we know certain information from him/her:
age, gender, locality, ethnicity, education, employment etc.

BUSINESS VALUE

We provide a precise micro-targeting marketing capability to businesses, which can deliver the most effective message to the right person to hit a sale conversion.

MODELLING

We can predict a price movement (for a product in a given locality) if we know certain information: product, brand, locality etc.

BUSINESS VALUE

We provide a precise price prediction that can help businesses make better pricing decisions.

MODELLING

We can predict a person’s view towards social issues (conservatism, religious issues, attitude towards employment etc.) if we know certain information from him/her: age, gender, locality, ethnicity, education, employment etc.

BUSINESS VALUE

We provide accurate insights into branding and product development to ensure the products/ services developed by businesses have a near perfect fit with the targeted audience/customers.

DATA ASSETS

We can claim proudly that we are the only organisation in Malaysia that has a complete political, economic and social profiling of 15 million Malaysians (in our database).

We carry out various surveys 5 days a week continuously to add more data points to our central profiler. With more data points being added, we increase the accuracy of our profiling predictions and expand the scope of profiling it can deliver.

The power of the predictive profiling was unleashed in the 2018 general election.

We achieved one of the highest campaign message penetration ever reported in any major election campaigns in the world.

We served 1 billion of social media’s campaign impressions to a voting population of 15 million throughout the eighteen-month campaigning period. This translated to an average of 67 times of campaign messages delivered directly and individually to each voter over social media.

This achievement in micro-targeting beats the much-discussed Cambridge Analytica’s campaign performance during the US Presidential Election of 2016.

Credited for winning the White House for President Trump, Cambridge Analytica claimed it served 1.4 billion campaign impressions over social media (to a voting population of 250 million) that contributed to the vote swing in the marginal states and eventually delivered the presidency to Trump. This translated to an average of 6 times of campaign messages delivered directly and individually to each voter over social media.

With accurate voters profiling derived from data analytics, our messaging efficiency was 10 times better than what Cambridge Analytica delivered for President Trump.

LEADERSHIP

We come in different shapes and sizes. But we follow what the data tells us. Our leadership team brings together expertise from Fortune500 organisations, President Obama’s 2012 re-election campaign, leading advertising and consulting firms, award-winning designer house and some of the biggest household names in the region.

RAFIZI RAMLI, FCA

RAFIZI RAMLI, FCA

CEO & Founder

ANDREW CLASTER

ANDREW CLASTER

Advisor

Vincent Chow

Vincent Chow

Chief Technology Officer

Koh Wyhow

Koh Wyhow

Chief Analytics Officer

Na'im Brundage

Na'im Brundage

Chief Marketing Officer

Hidayat Jamalolail

Hidayat Jamalolail

Chief Creative Officer

Nurfaiz Foat

Nurfaiz Foat

Chief Projects Officer

TAP INTO THE POWER
WITHIN YOUR DATA

Talk to us today.

Copyright © 2018 INVOKE Solutions Sdn. Bhd.

       

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