Top Tweets for #eWeekTweetChat
A8 - Myth: Data and data analytics is rocket science… it’s not, and I was a rocket scientist. #eweektweetchat https://t.co/i9GT8avyEE
A8: The big myth is that collecting, transforming and cleansing the #data is the hard part. It’s not. Operationalizing the data, or even a subset of the data to lead to transformative business results is the hard part. #eweektweetchat https://t.co/hFGRzSJV53
A7: Back to data producers & #data consumers - we are seeing more ‘consumers’ non-IT roles (i.e., #sales, #engineering, #finance, #HR) Data suppliers or traditional data engineers, analysts & other #IT personnel need to understand the bu... #eweektweetchat https://t.co/453gO6qgje
#DataAnalytics experts, including our own Radhika Krishnan @RKs2cents, weigh in on best practices for optimizing data analytics. #eWeekTweetChat
Q4. Big Question #1 of 2: What’s one essential best practice that companies must employ to optimize their data analytics? #eweektweetchat https://t.co/pUdovj6DWR
A6: There are literally hundreds of #data platforms, across #datamanagement, data capture, transformation, #analytics, #AI, #ML, visualization, etc. and all can be useful but ultimately the tools are only as good as the practitioners & t... #eweektweetchat https://t.co/3SC8B27auC
A5: Leverage #DataOps technologies to automate the data capture, cleansing & transformation so the data science & engineering can work on manipulating the data to drive business results such as higher customer retention, reducing $$, or ... #eweektweetchat https://t.co/SDBz0PEQ1N
A4: Every pipeline has #data producers & data consumers– understand the requirements for each. Start w/ a customer-back approach to #dataanalytics by understanding end users & their needs for business solutions – then work back leveragin... #eweektweetchat https://t.co/8TvosMzar0
A3: By far, the biggest challenges are in operationalizing #data at scale w/ rapidly rising stakeholder expectations on speed, flexibility, timeliness & customization of new capabilities. #eweektweetchat https://t.co/bu85kMJFq1
A2: Also, data is being leveraged outside of IT – driving more value in the lines of business. + new tech such as edge platforms &advanced connectivity are revolutionizing the type &frequency of #data collected on devices, enabling a who... #eweektweetchat https://t.co/9E5YmFi1Oa
A2: There are a few mega-trends; #DataOps, democratization of #data & the convergence of physical data (e.g. IoT) with other sources near the edge. DataOps allows you to leverage #automation technologies to free up data engineers for hig... #eweektweetchat https://t.co/D38Vot8btm
A1: Many companies are somewhere in the middle on their #dataanalytics journey, but Gartner’s Data & Analytics maturity assessment of over 1k companies shows that not 1 industry scores a 3/5 for maturity. So there is a lot of opportunity... #eweektweetchat https://t.co/HYTwRG82eK
•Andi Mann, Global CTO, Founder, Sageable
•Vamsi Paladugu, Sr. Director, Lyve Cloud Analytics, Seagate Technology
•James Malone, Sr. Manager for Product Management, Snowflake
•Santiago Giraldo, Senior Director of Product Marketin... #eweektweetchat https://t.co/sM6YNwGupp
•Radhika Krishnan, Chief Product Officer, Hitachi Vantara
•Bill Corrigan, VP of Technology, Office of the CTO, BMC Software
•Ciro Donalek, Co-Founder and CTO, Virtualitics
•Rex Ahlstrom, Chief Strategy and Technology Officer, Syniti #eweektweetchat https://t.co/2SC1OKjwPc
I'm eWEEK editor James Maguire, moderating from sunny Oakland, Calif. Thanks for joining us! We expect this to take about 45 minutes. #eweektweetchat https://t.co/oVAYPfGsV3
Hello all! Welcome to #eWEEKchat No. 119, "Optimizing Your Data Analytics Practice.” #eweektweetchat https://t.co/2AFZJSVgkb
Thank you for having me, enjoyed the conversation — Ian Russ #eweektweetchat https://t.co/6rkes6AxCT
A9: Changes to workloads, #data and business requirements must be anticipated and mechanisms for measuring value determined. Otherwise solutions will rapidly fail to deliver expected benefit. (2/2) #eweektweetchat https://t.co/s3xjtnwm4z
A8: In 10 years+ we won’t view #EdgeComputing as a separate ‘edge case’ (pun intended). Instead, Edge Computing will be a ubiquitous and commoditized element of the core fabric of computing. (2/3) #eweektweetchat https://t.co/9HvuQX9BeF
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