Utilizing AI To DriveTransformation In Your Business

Discover the Future of Data Analysis and Innovation

When Do You IntegrateProduct Intelligence And AI In Your Product?

The product intelligence team offers knowledge such that all stakeholders can derive informed decisions regarding the product growth. From developers to testers, product managers, product owners, marketing specialists, everyone benefits from the actionable insights provided by the Data Science team.

What Is Our Data Science Strategy?

ask questions

find the WHYs, HOWs and WHENs

try to understand the business and the problem

make assumptions

interrogate the data to validate them

make informed decisions

let ourselves be guided by the data to extract knowledge and uncover new opportunities

Why Work With
Tapptitude?

Our work does not stop once we commence implementation, we go deeper into developing your product to be a good match for its users.

We dive deep into the data and identify user journeys, user personas, what your users love about your product and what they find less relevant for their needs.

We help you provide personalized experiences for each user.

Lastly, we give you insights about the business understanding of where your product stands in industry and towards your users.

We have experience in building mobile products in areas:

NutritionHealthcareMusicArtsFitnessBeauty+ more

Our strategy

Exploratory Data Analysis
Actionable Insights
Knowledge Extraction
Data Driven Decisions
Uncovering new revenue opportunities
Improving business processes
Staying ahead of competitors

What Services
Do We Offer?

Tapptitude offers businesses access to data science expertise and capabilities without the need for in-house data scientists. We offer solutions that leverage the power of data analytics, machine learning, and statistical methods to solve complex business problems, optimize operations, and drive decision-making.

We provide the expertise and tools necessary to harness the power of data for informed decision-making and strategic planning focusing on a data-driven approach.

Data Science Consulting

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Whether you are a startup or a full grown company our Data Science team can assist you in including data-driven decisions into your product. We begin our assessment process with a discovery phase where together with stakeholders, leadership teams, product managers, engineers, and data analysts attempt to understand the organization's data needs, goals, and business challenges. Once clarified, we start an internal process of transforming the previous findings into actionable insights, smart reports.

Data and Analytics Transformation

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Gathering information about your product marks the initial phase of the Data Science journey, yet it doesn't suffice. Your data might originate from diverse sources and arrive in different formats, necessitating transformation, aggregation, and effective management for the derivation of insightful reports. Our team is adept at assisting you in defining your Extract, Transform, Load (ETL) requirements and processes, ensuring the conversion of raw data into actionable insights and reports.

Data Visualization and Reporting

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Every data type and client requires a distinct representation to ensure the effective communication of information in a meaningful and pertinent way. Our team possesses the expertise to discern the narrative within the data and present it appropriately, be it through a basic pie chart, a word cloud, or an interactive report.

Data Clustering and Cluster Analysis

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Whether discussing beauty, medical, fintech, or art sectors, certain behaviors can be grouped into similar categories. We can pinpoint customers inclined to use applications at specific times, identify medical services favored by patients with comparable health statuses, detect potentially fraudulent transactions, and recognize items frequently purchased together. Our team excels in comprehending user behavior, clustering users, identifying personas, and capturing similar behavior to enhance the personalization of each user's journey within the application.

Data Science Solution Implementation

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The implementation of a data science solution involves applying the insights, models, and recommendations obtained from a data science project. This process requires translating the results of data analysis and machine learning models into practical solutions that tackle specific business challenges or objectives. Our Data Science team collaborates closely with the AI and ML team during this phase to effectively translate the accumulated knowledge into the envisioned application.

How We Work
From A Data Science Perspective

We collect and analyze data in the right way, we explore together with you the best Machine Learningapproach to automate your processes and predict trends. We investigate how users interact with your product and offer them a personalized experience.

  1. CollectCollect
  2. AnalyseAnalyse
  3. Machine LearningMachine Learning
  4. AutomateAutomate
  5. Predict trendsPredict trends
  6. Personalized experiencePersonalized experience

Tools Used

Software development platform

PyCharm

PyCharm

Google Colab

Google Colab

XCode

XCode

Product Intelligence

Mixpanel

Mixpanel

Segment

Segment

Heap

Heap

Clevertap

Clevertap

Machine Learning Libraries

Tensorflow

Tensorflow

Keras

Keras

Seaborn

Seaborn

Data Storage & Management

Vector Databases

Vector Databases

Google Analytics

Google Analytics

MongoDB

MongoDB

Microsoft Excel

Microsoft Excel

Infrastructure

AWS

AWS

Glorify

Bringing structure to people’s daily worship

  • iOS & Android
  • Wellness
  • UK

Structuring Daily Worship with handpicked Bible verses, guided devotionals, meditations and space for reflection, music and prayers – all in one app.

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#TAPPSQUAD

Get To Know Our AI Squad

Ioana B.
Ioana Bărbănțan
Machine Learning & Data Scientist
Tudor O.
Tudor Cosmin Oanea
Generative AI & LLM Engineer
Alex T.
Alex Tudose
Head of iOS & Full Stack
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Product Intelligence And AI Insights

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