Direkt zum Inhalt

Geben Sie die Details ein, um das Webinar freizuschalten

Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.

Lautsprecher

Weitere Informationen

Trainierst du 2 oder mehr?

Erhalten Sie für Ihr Team Zugriff auf die vollständige DataCamp-Bibliothek mit zentralisierten Berichten, Zuweisungen, Projekten und mehr
Testen Sie DataCamp For BusinessFür eine maßgeschneiderte Lösung buchen Sie eine Demo.

RADAR: The Analytics Edition - Scaling Data ROI: Driving Analytics Adoption Within Your Organization

March 2024
Webinar Preview
Teilen

Summary

Data initiatives demand substantial investment in tools and talent, and understanding the return on investment (ROI) is essential for organizations. The discussion accentuated that ROI is not solely about financial gains but also includes department-specific metrics that contribute to overall business goals. Key strategies for enhancing data capabilities include building a strong infrastructure, promoting collaboration between technical and non-technical teams, and nurturing a data-focused culture. Making data insights understandable through storytelling is an important skill for connecting technical insights and business understanding. The vital role of executive support in advocating for data initiatives and the role of change management in overcoming resistance to cultural shifts were also discussed. Lastly, the challenges of expanding analytics capabilities were discussed, concentrating on data quality, infrastructure, skill gaps, and integration.

Key Takeaways:

  • ROI for data initiatives goes beyond revenue, covering various metrics like operational efficiency and customer satisfaction.
  • Effective data management requires a blend of the suitable tools, processes, and skilled personnel.
  • Using storytelling to make data insights relatable and actionable for non-technical stakeholders is vital.
  • Executive leadership and change management are essential for nurturing a data-focused culture.
  • Organizations face challenges in expanding analytics, including data quality, infrastructure, and integration.

Deep Dives

Understanding ROI in Data Initiatives

The concept of return on investment in d ...
Mehr Lesen

ata initiatives is complex, going beyond just financial metrics. As Tiffany Perkins-Munn noted, ROI can be linked to specific business goals, such as customer satisfaction and operational efficiency. "It's really about how do you use data and analytics to achieve a specific business goal," she explained. This approach requires organizations to consider various metrics, including cost reduction, resource allocation, and customer experience. By aligning data initiatives with these metrics, companies can ensure they are delivering tangible value.

Building a Data-Driven Culture

A data-focused culture is essential for using data effectively across an organization. This involves integrating data literacy across all levels, from executives to frontline employees. Omar Khawaja emphasized the need for "targeted data literacy programs" that cater to different personas within a company. Moreover, making complex data insights understandable through storytelling is an important part of this culture. As Tiffany Perkins-Munn articulated, "It's not about simplifying information too much, it's just about learning how to tell the story."

Overcoming Resistance to Change

Change management plays an important role in transitioning to a data-focused organization. Resistance often stems from fear or misunderstanding of data's role in daily operations. Laura Gent-Volker highlighted the importance of involving employees in decision-making to promote a sense of ownership and accountability. Pilot projects can serve as proof of concept, demonstrating the benefits of data initiatives incrementally. Engaging skeptics and understanding their concerns is essential to successfully implementing change.

Scaling Analytics Capabilities

As organizations aim to expand their analytics capabilities, they encounter several challenges. Data quality is vital, as inconsistent or inaccurate data can undermine decision-making. Infrastructure limitations, such as inadequate data storage and processing power, need addressing to accommodate growing data volumes. Skill gaps in data management and analytics also present hurdles. Tiffany Perkins-Munn noted, "The issues are always the same: data quality, infrastructure, skill gaps." Organizations must strategically tackle these issues to enhance their analytics functions effectively.


Verwandt

webinar

Scaling Data ROI: Driving Analytics Adoption Within Your Organization

In this session, Laura Gent Felker, Tiffany Perkins-Munn, and Omar Khawaja will explore best practices when it comes to scaling analytics adoption within the wider organization.

webinar

RADAR: The Analytics Edition - From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization

In this session, industry leaders share strategies for improving data quality, fostering a culture of trust around data, and balancing robust governance with the need for accessible, high-quality data.

webinar

RADAR: The Analytics Edition - The Art of Data Storytelling: Driving Impact with Analytics

In this session, three industry leaders will shed light on the art of blending analytics with storytelling, a key to making data-driven insights both understandable and influential within any organization.

webinar

RADAR: The Analytics Edition - Building a Learning Culture for Analytics Functions

In the session, Russell Johnson, Denisse Groenendaal-Lopez and Mark Stern address the importance of fostering a learning environment for driving success with analytics.

webinar

Radar Data & AI Literacy Edition: From Insight to Impact with Data Storytelling

In this session, join Gary Wolf, Lea Pica and Jason Forrest as they delve into the world of data stories and how they play out in our lives. 

webinar

Radar—Keynote—Building the Data-Driven Workforce of the Future

The challenges individuals and organizations face in the era of data fluency.

Join 5000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Request DemoTry DataCamp for Business

Loved by thousands of companies

Google logo
Ebay logo
PayPal logo
Uber logo
T-Mobile logo