DataSpeak Series WinPure

Companies are obsessed with data hoarding. But as is now evidently clear, more data does not necessarily mean better data. In this insightful webinar, we talk with Libba Standford, a strategic data advisor at The K2g group to discover how companies can move the focus from more to better, useful, purposeful data.

Poor quality data costs the government, businesses, and society every single day. Yet, it’s never a point of discussion in the grand scheme of data management plans. Companies spend millions on data infrastructure but little on data quality improvement - and that's where we want to bring in change.
It's time to focus on data quality as a critical factor in a data strategy plan! An IMB report revealed dirty data costs the U.S. economy $3 trillion annually in lost productivity and revenue. It is one of the most challenging problems in the data management space.
For this podcast, we invited Navneet Makhni, a Strategy Principal Director with over 14+ years of experience, juggling roles of a CDO, an enterprise data architect & a global MDM leader, to guide us on the best practices of managing dirty data. Navneet will share her experiences and data governance guidelines to reduce the impact of dirty data on business objectives.
In an action-driven conversation about dirty data and the immediate steps your company can take to improve its data quality.
Join us as we break down the causes of dirty data and discover viable solutions that can be implemented without costing a fortune.

Everyone's talking about aligning processes, people, technology, and data - but when it comes down to actually getting it done, many businesses still struggle with getting their data strategy right. Realizing this crucial gap, we've invited Dora Boussias, as our November speaker to help our audience with a five-step plan to create a successful data strategy implementation.
Dora is a business data and technology leader with 25+ years experience in financial services, healthcare/medical technology, and retail industries. She has deep domain expertise in data, analytics, enterprise architecture and digital transformation. Additionally, she is among those rare leaders who walk the line between IT and business, driving change while making meaningful impact.
Over casual conversations and in client demo sessions we identified a common problem affecting businesses - the lack of a data strategy. Even companies with the best engineers and analysts were having troubles aligning people, processes, and technology. When we met Dora through a LinkedIn reference, we knew she would be the right person to talk about building a data strategy implementation plan.
What to Expect from the Session: A framework that you can use to build an effective implementation plan - and also pitfalls to avoid when creating the strategy. But most importantly, our live webinars are held so you can engage with the speaker and ask direct questions.
You will discover how to: Align a business strategy with a data strategy Establish data governance & quality control for meaningful insights Define roles, accountability, and empowering business users Implement for business resiliency Lead a positive culture change
Some of the questions answered included:
1. Talking about Data strategy is a word that is thrown around a lot. What meaning does it truly hold in terms of implementation?
2. What would you say are the 5 pillars of a data strategy plan?
3. What are the key KPIs of a data strategy plan?
4. What part of the strategy needs the most attention and is critical to business success?
5. Generally, how long does it take to build a strategy and what are the direct costs involved?
6. Should companies focus on tools first or on people first when creating the strategy?
7. Strategy and tactics are often mixed up. What's the common one you come across?
8. What would be an example of a realistic objective with a data strategy plan?

You can have the grandest data implementation plans in the world, but if you don't have a data-informed company culture, you'll be struggling to succeed with your plans. In this episode, Liz Henderson, also known as the Data Queen, shares how companies can drive culture change and implement initiatives by working with people "and" data!
https://winpure.com/blog/dataspeak-webinar-6-driving-cultural-change-working-with-people-data/

In 2022 the stakes are much higher. Is it time to double down on data and digital transformation?
The 4th industrial revolution is driving social, political, scientific, educational, and economic transformation, fueling the birth of new technologies, new markets, new economies, digital transformation, business modernization, advanced automation, artificial intelligence, and powerful digital communities.
Advancements include centralization, decentralization, real-time information exchange, predictive analytics, global competition, accelerated growth, expansion, and reinvention at an unprecedented scale, and the transition from mostly manual labor, to an economy dominated by speed, information, technology, knowledge workers, and new global consumers without twentieth-century borders, and with much higher expectations.
In all of this, business leaders need to double down on data and digital transformation. Why? Find out with "The" Data Whisperer - Scott Taylor!
https://winpure.com/blog/dataspeak-webinar-episode-4-takeaways-why-businesses-should-double-down-on-digital-transformation/

Data science leadership roles are exploding. Companies are looking for professionals who can lead them through strategy and implementation to achieve data-driven business goals.
But do businesses have a hiring strategy in place for data leadership roles?
Are expectations and reality aligned?
We find out with Kyle Winterbottom, Founder and CEO of Orbition, the world’s leading Data, Analytics & AI talent solutions partner.
This webinar is aimed at both employers and candidates, with the purpose of helping both navigate a complex market to their mutual benefit.
✔ How to get started on developing a hiring strategy
✔ How to navigate between expectations and reality
✔ Reducing the gaps between demand and outcome
✔ Red flags candidates need to look out for when considering data leadership roles