Data Consultancy Services

Babel helps deliver solutions & Business value across
3 Service verticals

Data Analytics

How HAVE you BEEN performing?

Data Analytics

Leverage on our Experts’ Exploratory & Diagnostic Analytics frameworks to help tackle your business’ Known Knowns & Known Unknowns.

Some solutions we have provided include:
i. Campaign Engagement Analysis
ii. Cohort Analysis
iii. Customer Lifetime Value (CLV/LTV)
iv. Social Media Analysis, etc

Data Engineering

How are you ENABLING the DATA FLOW for Data Analytics & Science projects?

Data Engineering

Having lost quite a few teeth (& hair) over Big Data & Hadoop Data Engineering problems, we have helped multiple SaaS, Social Networking & BFSI companies build state-of-the-art Data Architectures: with quite a few running reliably & resiliently, even after 3 years - which is considered decades in the Big Data world.

Some solutions we have provided include:
i. Data Pipelining, Harmonization & Customer 360 view
ii. Data Warehousing
iii. Data Lakes
iv. Data Architecture & Governance

Data Science

What should you be DOING NEXT?

Data Science

Using our expertise in Predictive & Prescriptive Analytic techniques, help your business find out your Unknown Knowns & (possibly) the Unknown Unknowns.
Some solutions we have provided include:

i. Customer Segmentation
ii. Recommendation Engines (Product, User, Product Tag & others)
iii. Social Media Monitoring / Advanced NLP
iv. Customer Interest Detection (based on clickstream)

Success Stories

Campaign Engagement Analysis

▪ Challenge: Client’s Customers needed a digital destinati...

Campaign Engagement Analysis

▪ Challenge:
Client’s Customers needed a digital destination where they could understand how their Marketing campaigns and efforts were faring. Key problem for our client was developing a single Dashboard across their customers & industries serviced and campaigns enabled

Solution: Campaign Engagement Analysis
Service: Data Analytics
▪ Client Industry / Region: Marketing divisions across Industries / APAC

▪ Key Results:
1. In-house developed Insights Dashboards
2. Provided a Macro + Micro understanding of Campaigns, User & Product engagement
3. Serviced diverse stakeholders (Marketing Directors, Heads of Marketing, Executives), across Industries & Clients’ Customers
4. Variety of JavaScript libraries (D3, React, Node), Python & AWS RedShift were used

Cohort Analysis

▪ Challenge: Client had multiple Financial systems in place....

Cohort Analysis

▪ Challenge:
Client had multiple Financial systems in place. Quite interested in understanding which industry being serviced performed better (within the last 12 Quarters) and patterns therein. Insights would be used for more focused marketing.
▪ Solution: Cohort Analysis
▪ Service: Data Analytics
▪ Client Industry / Region: Logistics / APAC

▪ Key Results:
1. Results were 50% in line with client’s expectations: Fashion, Fitness + Sports, F&B and Health industries performed the best, across APAC, Europe & North America.
2. Post identifying multiple Expansion/add-on package requests within the 2nd - 4th month, across cohorts, we helped propose the packages each industry needed to be targeted with, within this short up-sell window.
3. Prototype was initially created in MS Excel; once approved, was further developed using Python & Apache Airflow

Customer Search Analytics

▪ Challenge: Our clients’ customers were interested in leveraging on their ...

Customer Search Analytics

▪ Challenge:
Our clients’ customers were interested in leveraging on their end-consumers’ Digital searches, via the client platform, to understand how products were being engaged
▪ Solution: Customer Search Analytics
▪ Service: Data Analytics
▪ Image:
▪ Client Industry / Region: Marketing divisions across Industries / APAC
▪ Key Results:
1. Provided top 50 Searched Phrases, Named Entities & Products
2. Also gave additional insights on end-consumers’ search behavior (device metadata, location, time of search & combinations of 3)
3. Clients’ customers were delighted; quite a few wrote back appraising the efforts
4. Used Google BigQuery & Python for the project

Customer Interest Detection (using clickstream data)

▪ Challenge: Traditional customer segmentation techniques &a...

Customer Interest Detection (using clickstream data)

▪ Challenge:
Traditional customer segmentation techniques & campaigns were not helping the client understand why customers responded in specific manners
▪ Solution: Customer Interest Detection (using clickstream data)
▪ Service: Data Science
▪ Client Industry / Region: Telecom / Malaysia

▪ Key Results:
1. Analysed Black Friday (23 Nov, 2018) traffic
2. Discovered that Bubble Tea & other F&B products were popular destinations, once a customer had visited an E-commerce store
3. Different Insights provided various Cross-selling opportunities
4. Used native Python, AWS S3 & AWS EC2 for deployment

Product / User Personalization

Challenge: Showcasing relevant products (>360 combinatio...

Product / User Personalization

Challenge: Showcasing relevant products (>360 combinations) to each / groups of users (>800k in Singapore, alone), in order to increase Customer Engagement & Revenue
Solution: Product / User Recommendation
Service: Data Science
Client Industry / Region: Insurance / APAC

Key Results:
1. Delivery of a fully functional Recommendation Engine project in <3 months
2. Results: ~59% Accuracy & ~21% Conversion Rate
3. Subsequently, project scope was expanded across APAC (multi-million $ project)
4. Used multi-threading & Python on a Windows machine

Digital Media Monitoring / Advanced NLP

▪ Challenge: Extracting Trending Topics & associated Buzz...

Digital Media Monitoring / Advanced NLP

▪ Challenge: Extracting Trending Topics & associated Buzz, relevant to each client & industry, across Online Media (social, blogs/forums & print)
Solution: Digital Media Monitoring / Advanced NLP
Service: Data Science
Client Industry / Region: Media Intelligence / Australia+Singapore
Key Results:
1. Complete solution (Trending Topics & associated buzz; NER, aspects & associated sentiment) productionized within 6 months
2. Replaced the outsourced NLP tool - resulted in direct savings >>100k USD, within the same FY
3. Accuracy levels (>70%) were almost at par with that of the average Business Analyst, on the project
4. Python, R & a cluster of Ubuntu 14.04 LTS servers were used for the final deployment

Data Harmonization

▪ Challenge: Client sold different products across 6 JAPAC countries. Each co...

Data Harmonization

▪ Challenge: Client sold different products across 6 JAPAC countries. Each country had different systems in place, resulting in the US-based HQ not getting an overview of each country’s performance. HQ wanted to Harmonize each country’s data, migrate it to the cloud (AWS) & automate every incoming batch of data into the new Harmonized data store.
▪ Solution: Data Harmonization
▪ Service: Data Engineering
▪ Client Industry / Region: Automotive Insurance / JAPAC

▪ Key Results:
1. Data Harmonization (each country had >100 GB data) completed & productionized in 9 months - despite major political pushback across multiple countries & teams
2. Major time & effort savings, alongside transparency, at each level (HQ, Regional, Country, District, City)
3. Harmonized data had a matching accuracy of >97%.
4. Big Data & Hadoop components were finally deployed atop clients’ AWS environment. SAS was deployed, downstream, on this Harmonized data source for HQ to do further analytics

Data Engineering

▪ Challenge: Client was reorganizing the way data would flow into & acoss ...

Data Engineering

▪ Challenge: Client was reorganizing the way data would flow into & acoss their systems for the new product (end customers would be monetarily rewarded for explicitly engaging ads). Wanted Data Architecture & Governance in place, which would be a good fit for the product.
▪ Solution: Data Lakes
▪ Service: Data Engineering
▪ Client Industry / Region: Social Networking / Singapore
▪ Key Results:
1. Considered multiple Governmental regulations (GDPR, PDPA) before we began the project & solutioning - with a heavy focus on end-consumer’s privacy & security
2. Proposed a complex, but necessary, Data Architecture which could stand resiliently - enabling the Engineering teams (Software + Data) to focus on other problems, while enabling even Business / Data Analysts to work with the new data stores
3. Entire solution was conceptualized, developed & delivered by us in <4.5 months
4. New architecture of HBase, Hive (Metastore), Apache Phoenix, AWS S3, Spark, Python & Tableau worked well with the existing MySQL & MongoDB stores the company was using
5. RoI was measured by the usage: 3 Data Science projects created based on this newly collected & stored data

About Us

With almost a decade of Operations & Data expertise alongside premier Project Delivery accolades, under each of our consultants’ belts, we decided to help ‘Democratize Data’ beyond the reach of Corporate Consultancies, Tech Titans & Bountiful Bankers.

We aim to help:
▪ Organizations of a varying variety (SMEs, MNCs, startups)
▪ Become Data-driven Decision makers, based on relevant information & data shared by you + 3rd Parties
▪ Via Customized Solutions, delivered by proven experts
▪ Across Industries (BFSI, Retail, Telecom, Hospitality, Digital Media)

Contact Us