Category: analytics adoption

Data Science Giveaway Ends Tomorrow, Feb 7th!

Join our data science giveaway, which ends tomorrow Feb 7th! No purchase required.

http://nandeshwar.info/ds4fundraising/

Just share your referral link with friends.

The more friends you get to sign-up, the better rewards you can win.

Enter To Win:

  • DataCamp’s 100+ Video Courses (one year subscription)
  • Top Five Data Science books, including R for Data Science and Machine Learning with R
  • NYT’s Digital Subscription (26 Weeks)
  • Machine Learning Flashcards
  • R Stickers

Data Science for Fundraising: Build Data-Driven Solutions Using R

I’m pleased to share that Ashutosh Nandeshwar and I have co-authored a book Data Science for Fundraising: Build Data-Driven Solutions Using R, which is expected to release Feb 2018.

Please share with anyone interested in learning about data science and how to build machine learning solutions with step-by-step recipes.

Check out the attached link for more details about our data science giveaway!

6 Ways to Effectively Drive Analytics Adoption

6 Ways to Effectively Drive Analytics Adoption

Data analytics is a topic of increasing relevance and priority for organizations of any size or sector.

As you explore different analytics pathways, options and solutions, there are common themes around design, workflow and business requirements, as well as important technical, social and cultural considerations, that must be aligned with organizational goals, priorities and expectations.

Ultimately, the value proposition of data analytics is to help 1) improve results and 2) gain operational efficiencies. Despite the simplicity of these goals, data analytics can be challenging to implement and realize at scale for many organizations.

In the following article, we will explore some ways to effectively organize, contextualize and drive analytics adoption efforts within your team, department or organization.

You’re Invited to DRIVE/ 2018!

Hope your 2018 is already off to a great start!

I’m looking forward to speaking at #casedrive, a preeminent event for professionals who are determined to be subject matter experts in the fields of data and beyond.

I will be presenting on Data Science for Fundraising: Build Data-Driven Solutions Using R on Tuesday, February 27.

Join me in Seattle, Washington February 27-28 at this must-attend event!

There’s still time to sign up today, so don’t miss out!

APRA OverDrive 2018

Join us for OverDrive/ 2018!

Please join APRA and your data-driven peers for OverDRIVE/ 2018, a one-day deep dive into the world of analytics held on Feb. 26, 2018, one day before the DRIVE/ conference.

Made possible through a partnership between APRA and the DRIVE/ Conference, OverDRIVE/ 2018 is specially designed for those looking to boost their analytics skills and gain the tools to demystify and optimize data.

Learn more about the experienced faculty that will be sharing their invaluable insight at OverDRIVE/ 2018 and view the complete schedule here.

Don’t delay — register by January 19 to secure early bird pricing and book your housing!

Relationship Management Metrics

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Thanks to APRA for inviting me to present on relationship management for the 30th annual conference on 7/28/17 in Anaheim, CA.

The topic of my session is Relationship Management and Metrics: Key Fundraising Tools to Drive Acceptance of Analytics, Models and Services.

Here’s a brief description of my presentation:

Effective relationship management is critical to successful fundraising within any organization. Relationship management and metrics describe a system of information tracking tools, reports, policies, processes and measurable actions that organizations can use to 1) move prospects through the continuous fundraising lifecycle 2) chart progress to goal and 3) provide data-driven insights and strategic recommendations to key stakeholders. In this session, attendees will learn how to use relationship management and metrics to improve the acceptance of data analytics, models and services as evidence-based tools to provide context, content and competitive advantage.

Looking forward to sharing insights, expertise and decision support recommendations with the APRA community.

Analytics Adoption Factors

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The DRIVE/ Conference is the preeminent event for professionals who are determined to be subject matter experts in the fields of data, reporting, information, analytics, modeling, visualization and beyond. This thought-provoking experience is held annually and is a must-attend event for those looking to leverage the latest innovative thinking and network with thought-leaders from the world of data. DRIVE/ participants learn new skills, participate in technical deep dives and be inspired by world-class keynoters while interacting with professionals from high tech, higher education, philanthropy, government, professional sports and beyond.

This year I am presenting on Analytics Adoption: Key Factors to Drive Organizational Acceptance, Transformation and Value:

  • The underlying goal of any data-driven project is to overcome a challenge, gain insight or seize a critical opportunity to add business value.
  • Analytics projects of any size require leadership support as they face adoption issues, resource constraints and cultural challenges.
  • Learn how proven change management strategies and continuous improvement frameworks can help you, as a leader, analyst and/or stakeholder, light a fire to cultivate support and creatively motivate the action required for your success.

Thanks to the CASE team for providing the opportunity to share insights, expertise and practical solutions on how to build a data analytics organizational culture and performance-driven team.

Predictive Analytics Innovation Summit

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Thanks again to the Innovation Enterprise team for inviting me to chair the Predictive Analytics Innovation Summit on 2/14/17 and 2/15/17 in San Diego, CA.

I enjoyed connecting with creative thought leaders and diverse innovators across a wide spectrum of industries, sectors and business domains.

After two days of inspiring presentations, I left energized and ready to tackle the common challenges we continue to face in the field of applied predictive analytics and machine learning — identifying context, clarifying business requirements, linking project specification to ROI, fostering analytics culture within the organization, establishing data governance, promoting buy-in from key stakeholders, and translating results into actionable insights.

It is an exciting time to be involved with data analytics as we shift from 1) predictive to prescriptive analytics and 2) further explore the potential of deep learning and artificial intelligence to create solutions using structured and unstructured data evolving rapidly in terms of volume, velocity and variety.

I look forward to incorporating some of these themes and takeaways in my upcoming presentation at DRIVE/ in May 2017.