Delivered by Josh Katz (Graphics Editor, The New York Times) at the 2016 New York R Conference on April 8th and 9th at Work-Bench. See the rest of the conference videos & presentations at http://www.rstats.nyc.
The Next Generational Shift In Enterprise Infrastructure Has Arrived. If SlideShare is broken, please download report here: https://www.scribd.com/document/352452857/2017-Enterprise-Almanac
AI to Enable Next Generation of People ManagersWork-Bench
In our work with hundreds of top fast growth startups and globally-distributed Fortune 1000 corporations in our enterprise tech ecosystem here in NYC, the most common refrain we hear is: "managing people is hard."
Delivered by Josh Katz (Graphics Editor, The New York Times) at the 2016 New York R Conference on April 8th and 9th at Work-Bench. See the rest of the conference videos & presentations at http://www.rstats.nyc.
The Next Generational Shift In Enterprise Infrastructure Has Arrived. If SlideShare is broken, please download report here: https://www.scribd.com/document/352452857/2017-Enterprise-Almanac
AI to Enable Next Generation of People ManagersWork-Bench
In our work with hundreds of top fast growth startups and globally-distributed Fortune 1000 corporations in our enterprise tech ecosystem here in NYC, the most common refrain we hear is: "managing people is hard."
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.