In this episode, we explore the significance of ROI in data analytics projects, examining how it can justify investments and discussing the metrics used to measure the value of analytics platforms. 

David, CTO at OKA-BI, shares his expertise on how businesses can track and enhance performance through well-designed data platforms.

This episode is essential for anyone embarking on a data transformation journey. It provides key insights to help your organisation achieve efficient outcomes.

00:17 Understanding ROI in Data Platforms 
00:45 Historical Perspective on ROI 
03:23 Measuring ROI: Key Metrics 
04:00 Productivity and Compliance Benefits 
05:58 Data-Driven Revenue Growth 
07:36 Popular Metrics in Today's Market 
08:46 Conclusion and Final Thoughts

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In this episode of Data Analytics Chat, we discuss the evolving world of data governance. 

Eric Falthzik, Data Governance Leader at Nousot, a Data & Analytics consulting business, joins us.  

We discuss the growing importance of data governance in today's data-driven landscape. Learn about the origins, current trends, and future of data governance, how it intersects with data privacy and security, and the crucial role of executive buy-in, organisational change, and continuous improvement in successful implementation. 

Eric also shares real-life examples and practical tips for managing and enhancing data governance strategies across various industries.

00:00 Introduction to Data Analytics Chat
00:23 Meet Eric Falthzik: Data Governance Leader
01:48 The Importance of Data Governance
02:46 Challenges in Data Governance
08:11 Data Governance and Data Privacy
11:53 AI and Machine Learning in Data Governance
17:15 Evolving Roles in Data Governance
27:57 Data Quality Challenges and Improvements
28:57 The Power of Incremental Improvements
29:51 The Importance of Consistency in Data Governance
31:03 The Never-Ending Journey of Data Governance
33:05 Growing Focus on Data Ethics
36:40 Challenges in Implementing Data Governance
42:22 Ensuring Business Value in Data Governance
45:57 Case Study: Successful Data Governance Transformation
49:29 Top Tips for Data Governance
51:58 Final Thoughts

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In this episode of 'Success in Data Analytics,' we welcome David Hill,CTO at Oka-BI, back to discuss the essential roles required in data analytics projects. From project managers to data architects, we explore the importance of each position and provide insights on how to structure your team effectively. 

Learn why methodologies like the Kimball method stand the test of time and how aligning roles with individual strengths can lead to project success.

This episode is essential for anyone embarking on a data transformation journey. It provides vital insights to help your organisation achieve efficient outcomes.

00:00 Introduction and Welcome
00:49 Key Roles in Data Analytics Projects
04:10 Defining Architectural Roles
08:22 Methodologies for Successful Projects
11:29 Importance of Team Alignment
15:48 Conclusion and Final Thoughts

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The 2nd episode of our new mini-series, "Success in Data Analytics," features David Hill, the CTO of Oka-BI. 
 
In this episode, we examine the critical topic of organisational maturity. David explains its definition, importance, and impact on business processes. He discusses the frameworks for assessing maturity and offers strategies for accelerating it using automation and AI technologies. 

This episode is essential for anyone embarking on a data transformation journey. It provides key insights to help your organisation achieve efficient outcomes.

00:00 Introduction to the Series
00:25 Understanding Maturity in Data Analytics
01:57 Impact of Maturity on Business
03:38 Assessing Organisational Maturity
04:47 Levels of ETL Maturity
08:04 Influence of Data Analytics on Maturity
09:21 Accelerating Organisational Maturity
12:42 Challenges in Changing Data Platforms
14:50 Conclusion 

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In this episode of Data Analytics Chat, we discuss the complex interplay between data strategy and human elements.

This conversation discusses critical aspects of the guest's five Cs framework (competence, collaboration, communication, creativity, and conscience) and the importance of empathy, communication, and leadership in successful data-driven transformations. 

We advise on overcoming resistance to change, fostering a data-centric culture, and the relevance of continuous training and development in implementing effective data strategies.

Tiankai Feng, Data Strategy and Data Governance Lead at Thoughtworks, a global technology consultancy, joins us. 

00:00 Introduction to Data Analytics Chat
00:29 Meet Tiankai Feng: Data Strategy and Governance Expert
01:35 The Journey to Writing a Book on Humanising Data Strategy
05:45 The Importance of Human Factors in Data Strategy
09:34 Leadership's Role in Data Strategy Implementation
16:39 Overcoming Resistance to Change in Data Initiatives
22:14 Effective Communication and Training in Data Strategy
27:56 Designing Human-Centric Data Strategies
30:44 Measuring the Success of Data Strategy Initiatives
32:37 Conclusion and Final Thoughts

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Platform Architecture Fundamentals: Objectives, Data Volumetrics, and Single Platform Strategy
 
Welcome to the first episode of our new series, 'Success in Data Analytics, ' featuring David Hill, the CTO of Oka-BI. 
 
An episode is released every week.
 
In this episode, we explore three key areas that can help organisations embarking on data platform projects: focusing on objectives rather than requirements, forecasting data volumetrics, and maintaining a single platform architecture. 
 
This episode is essential for anyone embarking on a data transformation journey. It provides key insights to help your organisation achieve efficient outcomes.
  
 00:00 Introduction to the Series
 00:35 Platform Architecture Fundamentals Overview
 02:44 Focusing on Objectives, Not Requirements
 05:26 Forecasting Data Volumetrics
 07:59 Maintaining a Single Platform Architecture
 10:59 Choosing the Right Platform
 14:26 Conclusion and Wrap-Up

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In this episode of Data Analytics Chat, we will discuss how to get the best out of your data team.

Getting the most out of your team is essential for achieving peak performance and reaching organisational goals. A fully engaged and optimised team can drive innovation, improve efficiency, and deliver better results. 

Peilin Corbanese, Vice President of Analytics at EXL, a global Gen AI and Digital Transformation Management consultancy, joins us. 

00:00 Introduction to Data Analytics Chat
01:03 Meet Peilin Corbanese: From Violinist to Data Leader
03:10 The Journey from Music to Data
07:55 Building a High-Performing Data Team
10:23 The Importance of Communication in Data Teams
14:11 Defining Roles and Responsibilities
22:08 Creating a Collaborative and Inclusive Team
23:04 Psychological Safety and Continuous Learning
31:19 Hiring Challenges and Strategies
39:00 Understanding Self and Others
39:47 The Role of Psychological Tests
41:31 Motivating and Engaging Teams
42:56 Balancing Team Dynamics
45:31 The Importance of Communication
46:37 Challenges in Leadership
49:18 Opportunities in the Insurance Industry
58:24 Encouraging Continuous Learning
01:02:14 Overcoming Productivity Challenges
01:06:01 The Value of Emotional Intelligence in Leadership
01:09:45 Conclusion and Final Thoughts

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In this episode of Data Analytics Chat, we will discuss how utilising the agile framework can help deliver data projects. 

Incorporating agile into data projects unleashes the power of adaptability and rapid iteration, transforming evolving challenges into opportunities for innovation and unlocking high-impact insights.

Andrew D'Avanzo, Vice President of Data Analytics at Citi, a leading Financial Services company, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to Data Analytics Chat
00:52 Guest Introduction: Andrew from Citi
01:05 Andrew's Journey into Data
04:00 The Importance of Agile in Data Projects
06:44 Agile Development Lifecycle Explained
09:54 Applying Agile to Data Projects
13:12 Managing Changing Requirements with Agile
16:55 Promoting Collaboration with Agile
20:28 Managing Technical Debt with Agile
24:49 Challenges in Adopting New Technologies
26:54 Adopting Agile for Data Projects
29:48 Implementing Agile Methodologies
32:29 User Stories and Acceptance Criteria
35:31 Real-World Agile Success Story
40:42 Scaling Agile for Complex Projects
47:17 Conclusion and Final Thoughts

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In this episode of Data Analytics Chat, we explore how to do data engineering. 

Data engineering has become crucial for companies as it enables efficient data management, supports advanced analytics, ensures compliance, and drives data-driven decision-making. It is important for businesses to transform their raw data into valuable insights that inform strategic decisions.  

Samit Korgaonkar, Head of Engineering for Enterprise Data at Google, the global technology giant, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to Data Analytics Chat
00:32 Meet Sumit Korgaonkar: Head of Engineering for Enterprise Data at Google
01:55 The Evolution and Challenges of Data Management
07:38 The Role and Importance of Data Engineering
20:33 Key Components of a Successful Data Engineering Framework
24:17 Designing and Maintaining Robust Data Pipelines
28:31 Choosing the Right Tools for Your Project
30:21 Ensuring Data Quality and Integrity
34:08 Essential Tools for Data Engineering
36:06 Scaling Data Infrastructure
38:49 Compliance and Security in Data Engineering
40:29 Delivering Business Value Through Data Engineering
42:33 Emerging Trends in Data Engineering
46:23 Key Skills for Aspiring Data Engineers
50:22 The Evolving Role of Data Engineers
54:04 Conclusion and Final Thoughts

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In this episode of Data Analytics Chat, we look into the evolution of the DBA role into data engineering. 

Data is moving at a fast pace, and this insightful topic will explore how DBAs have transformed into data engineers, mastering data integration and analytics to drive data-driven business insights. 

Brad Lowenstein, Head of Data Engineering at AWS Finance, a global cloud technology company, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to the Evolution of DBA to Data Engineering 
00:26 Guest Introduction: Brad Lowenstein
01:09 Brad's Journey into Data Engineering 
03:39 The Role of a Traditional DBA 
04:39 Technical Advancements Driving the Evolution 
09:12 Skills and Competencies: DBA vs Data Engineer 
14:52 Challenges in Transitioning from DBA to Data Engineer 
20:28 Impact of Cloud Adoption on Data Engineering 
24:34 Essential Tools and Platforms for Data Engineers 
28:51 Advice for Aspiring Data Engineers 
32:15 Future Trends in Data Engineering 
37:02 Conclusion and Final Thoughts

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