Bas Kamphuis

The Trump protestors in NYC are NOT having a good time 💀

@JamesMaguire Great discussion, thank you for hosting James #eweekchat crowdchat.net/s/168cx

This has been another excellent eWEEKchat. Great to see this monthly community gathering so we can learn from each other. See you next month! #eweekchat crowdchat.net/s/168cg

@RKs2cents and hence #DataOps is the ability to overcome and increasing the value of the data that is harnessed in those legacy applications whilst creating the services that will make us successful in the future. #eweekchat crowdchat.net/s/368cw

@RKs2cents 100% agree - and I think it is more and more understood that the Digital transformation is not merely about launching new services but also overcoming the technical debt that keeps a team anchored in yesterdays capabilities. #eweekchat crowdchat.net/s/168cu

@JamesMaguire A10: despite all the innovations in everything hyperscale-cloud providers do and everything startups are launching to add to the mix of capabilities, one of the hardest hurdles remains data: trying to get data out of a system an... #eweekchat crowdchat.net/s/168cc

Q10. To wrap up, any predictions for the future of DataOps? #eweekchat crowdchat.net/s/368c3

@JamesMaguire A10: We will continue to see a rapid pace of innovation as modern services come together / converge. And I believe it will continue to increase its importance, because digital transformations largest challenge is all about data(... #eweekchat crowdchat.net/s/468c9

@JamesMaguire A4: Lastly the lack of intelligence within BI is a scaling challenge: there is not a whole lot of self-learning algorithms that are helping you interpret data at the BI layer of the architectural stack. #eweekchat crowdchat.net/s/268c5

Q4. What’s DataOps’s greatest challenge: Cohesion between the teams? Process efficiency? Diversity of technologies? Or...? #eweekchat crowdchat.net/s/168a0

@JamesMaguire A4: I think there are 3 major challenges: 1: Data silos, 2: proprietary technology stacks; and 3: the state of automation. #eweekchat crowdchat.net/s/368c4

@JamesMaguire A9: . Think about this formula for a second: (data * Model) ^ People. In other words: by making data insightful through a model (context rich and business driven preferably) many more people will be empowered to take smarter act... #eweekchat crowdchat.net/s/368bz

Q9.What do you see as a core best practice for DataOps? #eweekchat crowdchat.net/s/968br

@JamesMaguire A7: probably true, probably a lot of vendors do focus here because it's such an interesting problem to solve in the bigger context of the industry challenges. We had Magnitude decide to focus and it's all about the ERP data for us. #eweekchat crowdchat.net/s/868bw

Q7. So many vendors claim to do DataOps – and they approach it differently. Is the concept losing clarity? #eweekchat crowdchat.net/s/968b8

@BasDutch1 Industries like Oil and Gas, Consuoer packaged Good or Life Science wil benefit the most because the ability to react faster to a supply chain disruption is key in increasing competitiveness and achieving results #eweekchat crowdchat.net/s/368bp

@JamesMaguire A8 I am biased (appologies), but industries with complex supply chains and/or manufacturing operations at a global scale will reap the highest rewards. #eweekchat crowdchat.net/s/868bl

Q8. What industries do you see benefitting the most from DataOps? #eweekchat crowdchat.net/s/668bg

@JamesMaguire A6 but that is a key point today - Dataops is not an objective, its a core element in the ability to transform to a 'data driven organization'. Doing dataops right will help secure success, but its only one element #eweekchat crowdchat.net/s/368be

Q6. Can a company “buy” DataOps or is it simply a process to implement? Will it adopt a SaaS model? #eweekchat crowdchat.net/s/868au

@JamesMaguire A6 In '21 of course the automation, or engine if you will, is provisioned as a Service in a broader analytics architecture. #eweekchat crowdchat.net/s/968ba

@JamesMaguire A6 within context yes on both. This is what we do at Magnitude. Specific to business apps, we are taking a lot of the proprietary IP / knowledge hurdles and enabling the customer's workforce and putting it into software code #eweekchat crowdchat.net/s/368b5

@samlakkundi Well said Sam #eweekchat crowdchat.net/s/668ap

@JamesMaguire A5: It’s a combination of both: technology hasn't quite advanced to do it all, and human capital is not infinite in its capacity. And so, between those two, the challenges are probably about equal. The answer is automation. #eweekchat crowdchat.net/s/068am

Q5. Apart from the challenges listed above, is DataOps’s greatest challenge human or technological? #eweekchat crowdchat.net/s/068af

@JamesMaguire A3: And so therefore data output, data ops, in that context is a force multiplier. If I can automatically interpret, I can scale the number of insights that I can extract and the speed in which I can make these insights. #eweekchat crowdchat.net/s/868ak

Q3 Why is DataOps important in today’s data-intensive world? #eweekchat crowdchat.net/s/8689i

@JamesMaguire A3: The ability to make smarter decisions, to analyze better, is in a large part constrained by the amount of data scientists that you can hire, the amount of people that you can find that understand it all. #eweekchat crowdchat.net/s/368aj

@JamesMaguire A3: Lets go back to ‘purpose’ – our desire and ability to analyze data serves a purpose – probably something like ‘enabling better decisions that ultimately create a competitive advantage for the organization at large’. And that... #eweekchat crowdchat.net/s/968ag