Joel Jolly

Led custom development efforts for retail brand affinity analysis, with a multi-perspective aggregation & affinity metrics solution.

For Fortune 500 firm embarked on a large scale cloud transformation program migrating legacy workloads from its datacenter (involving 5000+ applications) to a combination of cloud offerings from Google, Microsoft and internal cloud, developed migration plans (method, timeline, and dependencies) and expected business cases for the selected high value target applications, plus initial migration plans to act as a model for subsequent migrations, performed assessment of up to 500 applications for… Show more

For Fortune 500 firm embarked on a large scale cloud transformation program migrating legacy workloads from its datacenter (involving 5000+ applications) to a combination of cloud offerings from Google, Microsoft and internal cloud, developed migration plans (method, timeline, and dependencies) and expected business cases for the selected high value target applications, plus initial migration plans to act as a model for subsequent migrations, performed assessment of up to 500 applications for initial cloud suitability classification, based on available client data and good industry practices to deliver a list of applications with recommendations and rationale for end state operation in the appropriate Cloud solution. Show less

Helped Largest apparel manufacturer to realize significant improvement in data usability by linking supplier & business units globally to streamline management of content aggregation, enrichment & syndication.

For largest retailer in middle east, executed Interpretation of data quality requirements, score opportunity lost due to data quality, independent data quality profiling, defined data quality framework for data extraction and cleansing, and a measurement & reporting framework

Development highlights:
- Built data supply chain - adapters for MDM and syndicated feed, demand signals to forecast models
- Built unified demand view: OTB Scorecards, Category Management Reports, Out of stock pattern/trends

Part of designing and planning a pilot strategy on Enterprise Chatbot platform, developed proof of concept in two weeks (idea to execution), to showcases few example use cases, primarily through the use of natural language experiences/virtual assistants, intelligent automation, and Google cloud platform technologies. Worked with Healthcare SME to review scenarios that are repeatable which motivates the user(Patients) to engage and being more adherent, bot is capable to address the chronic… Show more

Part of designing and planning a pilot strategy on Enterprise Chatbot platform, developed proof of concept in two weeks (idea to execution), to showcases few example use cases, primarily through the use of natural language experiences/virtual assistants, intelligent automation, and Google cloud platform technologies. Worked with Healthcare SME to review scenarios that are repeatable which motivates the user(Patients) to engage and being more adherent, bot is capable to address the chronic condition market such as Diabetes, RA, and dermatology by increasing accessibility of care and pertinent drug/health information. Show less

For a leading hi-tech manufacturer, initiated product MDM & product hierarchy programs, defined global framework & guidance for account & contact data quality and enrichment, supported establishing long term governance structure & process to sustain new data models introduced.

Unlocking value from public data and social media analytics, analysis undertaken as a starting point for telco giant, mapped signal strength against positive and negative tweets/posts referring to brand.

Highlights:
Used only publicly available data, (signal strength data from OFCOM mobile coverage data, data from official twitter and facebook brand account)
One week only to explore five hypotheses/use cases:
- Within the limits of the data available.
- Indicative of the… Show more

Unlocking value from public data and social media analytics, analysis undertaken as a starting point for telco giant, mapped signal strength against positive and negative tweets/posts referring to brand.

Highlights:
Used only publicly available data, (signal strength data from OFCOM mobile coverage data, data from official twitter and facebook brand account)
One week only to explore five hypotheses/use cases:
- Within the limits of the data available.
- Indicative of the areas which could be developed further. Show less

Ingested social media data, from GNIP (historical and streaming data)

Highlights:
- Semi structured data
- Very low signal-to-noise
- Tweets/ text analysis

PoC developed:
Monitor all tweets worldwide in (semi) real-time on Windows Azure and using open source technologies such as Python/MongoDB (AWS cloud)

Objective:
To gain insight in this type of Big Data Analytics
- Show that social media add value to commercial media activities (marketing)
-… Show more

Ingested social media data, from GNIP (historical and streaming data)

Highlights:
- Semi structured data
- Very low signal-to-noise
- Tweets/ text analysis

PoC developed:
Monitor all tweets worldwide in (semi) real-time on Windows Azure and using open source technologies such as Python/MongoDB (AWS cloud)

Objective:
To gain insight in this type of Big Data Analytics
- Show that social media add value to commercial media activities (marketing)
- Engagement / Clients interested in social intelligence and how it can benefit their business Show less

Developed solution roadmap for largest travel retailer, to harmonize POS data from stores & syndicated accounts, to provide analytics needs, to enhance supply chain, category management processes.