Catalyst for a sustainable world


Jiingga is a data science as a service (DSAAS) platform with focus on marketing analytics. We provide cost effective, entry level best practice solutions for digital marketing and advanced marketing analytics in driving targeted business strategies. We build, deliver and continually help businesses optimize strategies and capabilities using data-driven approach and increase revenue, reduce cost and sustain innovative efforts for Small, Medium Industries (SMI).

Analytics for SME

As small and medium-sized businesses use a variety of digital tools to support and track customers, manage social media and run advertising campaigns, they should tap on data analytics to draw on, aggregate and analyse data from their marketing, sales and customer service, to derive insights into customer behaviour and preferences to accelerate their growth and stay competitive with bigger and loyal customer base, better profits and lower cost in their respective markets.

Data analytics produces transparency and clarity for numerous improvements, including better service level performance, better order fulfilment, improved supplier management, maximised customer value, lower costs and better product management. They are more likely to outperform competitors in key performance metrics including sales, sales growth, profit and return on investment.

Knowing and tracking your business at any time and place, gives you the fuel for not only faster but, effective decision making transforms your business and gives it the competitive advantage it needs to grow in the demand-driven economy today.


Expert-help for companies to sustainably innovate using data and transform themselves by hiring/upskilling/enhancing their data science capabilities


* Shorten talent search time with access to qualified and credible data scientist/analyst pool
* Build, mentor and deploy in house data science capability with transformational data science projects


* Reduce attrition risk with the right data science talent for a specific organisational culture
* Reskill/Upskill organizational training and development modules


* Reduce cost with hitting the ground running talents
* Cost effectively build, mentor and deploy in house data science capability through projects


As we embrace digital elements to connect to customers such as EPOS, Social Media Marketing, websites, there are many sources of data about the customers, business and employees being generated more than ever.

Ecommerce Analytics

If you own retail online business outlets in Shopee , Lazada, Zalora etc, you need to look at the data that have an impact on your online store and using this information to understand the trends and the shift in consumers' behavior to make data-driven decisions that will drive more online sales.

Recency, frequency, monetary value (RFM) Analytics

Description: RFM is a marketing analysis technique used to identify your company’s best customers based on their spending habits. The more recent the purchase, the more responsive the customer is to
promotions, the more frequently the customer buys, the more engaged and satisfied they are, their spend differentiates heavy spenders from low-value purchasers. Knowing your customers’ RFM score will help you focus on acquiring and retaining good customers.

Customer Relationship Management (CRM) Analytics

CRM refers to customer analytics strategies, techniques used by businesses to identify, acquire, nurture and retain the right customers. CRM techniques including understanding viable customer persona for the business, targeting the right customers, tracking and managing customer satisfaction knowing, proactively identify product or service opportunities with valuable customers and co-creating, closing the service loops and formulating relevant rewards systems.

Digital Marketing Analytics

Digital marketing analytics is all about translating online customer behaviour into more profitable digital campaigns. Understanding the customer journey is vital to appreciate how creating awareness for a new business progresses into generating leads which can be converted into valuable loyal customers. Therefore, digital analytics coupled with the customer journey help businesses understand who their customers are, what consumers are doing online, why they're doing it, and how this behaviour can be converted into better digital marketing campaigns.

Annual Al-related hiring growth 2015-2019

Companies investing in big data project

Global Tech Talent Shortage by 2030

Data Scientist turnover


Increasing number of companies seeking data science services
Frequently Asked Questions

Data Science is a field which contains various tools and algorithms for gaining useful insights from raw data. It involves various methods for data modelling and other data related tasks such as data cleansing, preprocessing, analysis, etc. Big Data implies the enormous amount of data which can be structured, unstructured and semi-structured generated through various channels and organisations. The tasks of Data Analytics involve providing operational insights into complex business situations. This also predicts the upcoming opportunities which the organisation can exploit.

Statistics plays a powerful role in Data Science. It is one of the most important disciplines to provide tools and methods to find structure in and to give deeper insight into data. It serves a great impact on data acquisition, exploration, analysis, validation, etc.

Data cleansing is a process in which you go through all of the data within a database and either remove or update information that is incomplete, incorrect, improperly formatted, duplicated, or irrelevant. It usually involves cleaning up data compiled in one area. For individuals, data cleansing is important because it ensures Data cleansing usually involves cleaning up data compiled in one area. In the case of an organisation, data cleansing is important because it improves your data quality and in doing so, increases overall productivity.

  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive

Descriptive : What’s happening in my business?
. Comperhensive, accurate and live data
. Effective visualisation
Diagnostic : Why is it happening ?
. Ability to drill down to the root-cause
. Ability to isolate all confounding information
Predictive : What’s likely to happen?
. Business strategies have remained fairly consistent over time
. Historical patterns being used to predict specific outcomes using algorithms
. Decisions are automated using algorithms and technology
Prescriptive : What do I need to do ?
. Recommended actions and strategies based on champion / challenger testing strategy outcomes
. Applying advanced analytical techniques to make specific recommendations



ZC-19-03, Jalan Kinrara 6B, 47180, Puchong, Selangor