AUTHORITY - Baseball Infographic

Head of Product, Major Healthcare Analytics Organization

Business Benefits

Enterprises undertake data transformation projects to become data-driven companies.  Data-driven companies are at the forefront of innovation, harnessing the power of data to drive growth and gain a competitive advantage.  A recent study by McKinsey found that companies that are data-driven outperform their competitors by up to 20 percent.  A well-organized data architecture allows enterprises to:

  • Improve decision-making: Data-driven companies base their decisions on factual information rather than gut feelings or assumptions.
  • Enhance customer understanding: Data-driven companies have a deeper understanding of their customers. By collecting and analyzing customer data, such as demographics, preferences, and behavior patterns, companies can tailor their products and services to meet customer needs more effectively. This personalization leads to improved customer satisfaction, loyalty, and increased customer lifetime value.
  • Increase operational efficiency: Data-driven insights can help identify inefficiencies and bottlenecks in business operations. By analyzing operational data, companies can streamline processes, identify areas for automation, and optimize resource allocation.
  • Continuously improve and innovate: Data-driven companies embrace a culture of continuous improvement and innovation. By collecting and analyzing data on performance metrics, customer feedback, and market trends, companies can identify areas for improvement and innovation. This iterative approach helps refine existing processes, develop new products or services quickly, and stay relevant in a rapidly evolving market.
Use Cases
Well architected data is a pre-requisite to performing advanced analytics. Once a company has executed a data transformation project and fully organized its data, the company can run data analytics which:

Identify patterns and indicators of customer churn allowing the company to reach the customer before they churn out.

Analyze market trends, competitor pricing, customer behavior, and demand patterns allowing companies to dynamically adjust prices to maximize revenue, and profit.

Provide personalized recommendations to customers based on their preferences, purchase history, and browsing behavior increasing sales, upsell and cross-sell.

Identify potential risks, such as equipment failure, cybersecurity threats, or supply chain disruptions, and take proactive measures to minimize their impact.

Analyze social media, online reviews, and customer feedback allowing companies to address any negative sentiment or issues promptly, manage their reputation, and enhance customer trust.

Analyze data such as clickstream patterns, navigation paths, and conversion rates, allowing companies to optimize their websites, improve user experience, and increase conversion rates.

Analyze patterns, anomalies, and transactional data to identify potential fraud and take immediate action to prevent financial losses.

Analyze historical sales data, market trends, and other variables, allowing companies to make data-driven decisions to ensure optimal stock levels and avoid overstocking or stockouts.

Analyzing energy usage patterns, allowing companies to identify areas of inefficiency, implement energy-saving measures, and reduce energy consumption in real-time.

Analyze production data and quality metrics, allowing companies to detect patterns, identify root causes of defects, and implement corrective measures to enhance product quality and reduce defects.

Common Challenges

Data transformation projects are notoriously difficult because of the following common challenges in the existing data environment:

  • Poor data quality: Inaccurate, incomplete, and undocumented data.
  • Disparate data sources: Redundant, often conflicting data.
  • Missing or outdated data pipelines: Methods to move and synchronize data across data stores are absent or error prone.
  • Lack of data governance: Data management and access policies are missing or outdated.
  • Customer Insights: integrate, protect, share, and use customer data to drive business outcomes.

Infinitive's Capabilities and Solutions

  • Relevant business acumen required to understand the industry-specific ROI of data analysis activities allowing for effective prioritization of data transformation activities.
  • Expertise with The Infinitive Data Transformation Methodology facilitating accurate work estimating, effective project planning and high-quality project management.
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  • Deep data engineering skills allowing for the quick and accurate selection and implementation of data cleansing, movement (pipeline), protection (cleanroom) technologies.
  • Experience with business intelligence and data visualization tools such as QuickSight, Tableu, and Power BI allowing for effective presentation of data.
  • Significant partnerships and certifications with leading data management software providers, including (but not limited to) AWS, Databricks, and Snowflake.
  • Data Maturity Assessment: Define the “as is” data maturity level of a company using The Infinitive Data Maturity Toolkit
  • Data strategy: Conduct a comprehensive data strategy project using The Infinitive Data Transformation Methodology
  • Full Data Transformation: Conduct and manage all activities required to move a client from “as is” data maturity level to the level required to become a data driven enterprise using The Infinitive Data Transformation Methodology
  • Customer Intelligence
  • Data Analytics with AWS


Download our Methodology

How We’ve Done it

Infinitive helps companies and organizations at any stage of their data transformation journey. We partner with you to understand your business and develop data strategies in support of your goals. We drive successful outcomes though the following:

Project Case Studies

Why Work With Infinitive

Our solutions are built on scalable, secure, low-latency, cloud-based technology, all powered by our deep experience with the leading media technology vendors. We will roll up our sleeves and work alongside your teams from initial strategy and vision to design and implementation, to full user adoption. We are with you every step of the way.
  • Worked with 9/10 of the top Media companies in the world
  • We consistently deliver 10X+ ROI on our ad solutions programs—We will do it with you.
  • Infinitive helps the largest media organizations:  increase revenue, speed up operations, and implement new streaming and addressable solutions that will engage your consumers and grow your business

Are you ready to get more value out of your data?