Video with transcript included: https://bit.ly/2VNNdVz
Nishant Bhajaria discusses how to set up a privacy program and shares some concrete examples, as well as tips on how to influence engineering and other teams to own their data and its usage so that privacy is a shared goal as well as a technical differentiator for a business.
This presentation was recorded at QCon San Francisco 2019: http://bit.ly/38sivWf
For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide https://bit.ly/2tm9loz
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
Using data as a part of your marketing plan can have a tremendous impact on your overall results, which is why data-driven marketing has become the standard for many agencies.
However, data-driven marketing may require many businesses to rethink the way they work, especially when it comes to cooperation between their various teams.
You may have heard about the concept of collaboration and automating processes before - something referred to as webops. Now an increasing number of companies are throwing marketing into the mix.
Among the most important factors is a close working relationship between marketing and web development teams if a business wants to make the most of data-driven marketing.
#data-driven #data-driven-marketing #web-development #marketing-data-science #teamwork #data-driven-development #data-driven-decision-making #webops
Data privacy has been all the talk in the tech sector as of late. With the emergence of smartphones over a decade ago, our entire lives have been put online. Our behaviors and thoughts have been monitored not just through Facebook status updates, but through applications and browser tracking page visits, link clicks, and google searches. Everything we do on our phones is recorded and collected as data used for a variety of purposes from personal safety to advertising. In recent months, data privacy, or rather a lack thereof, has come to the forefront of tech conversations. With Apple launching an increased effort to protect users’ privacy, the personal data world as we know is about to change.
Have you ever wondered how your ads on various web pages know exactly what you like? Or how Amazon knows exactly what purchase to suggest next? All of this is due to data collected on your phone that goes by the term cookies. A cookie is a small text file from a website you visit that attaches to your browser.
While cookies have been around for quite some time, users have begun to question just how much data they have access to. There has been a recent push in protecting user data and data privacy. Because of this, tech giants like Apple and Google have taken steps to reduce the amount of data applications and browsers have access to. Their smartphones now prompt users to choose which platforms are allowed to track their online behaviors.
This severely limits the access that businesses and advertisers can have to large sums of personal data. So you might be wondering, is increased data privacy all good? Like all things, it has its upsides and downsides and boils down to personal preference.
#data #privacy #data-privacy #data-protection #cookies #internet-data-privacy
Tableau Software has announced a new study developed in conjunction with YouGov, to explore how organisations in the Asia Pacific and Japan (APJ) have used data during COVID pandemic. The survey noted that data-driven companies in India are more resilient and confident during the pandemic, compared to non-data-driven companies.
According to the data, 83% of data-driven companies in India have reported reaping critical business advantages during the pandemic. Along with that, the survey revealed that 62% of organisations believe that leveraging data can provide multiple and vast benefits to businesses, including more effective communication with stakeholders. Another 58% organisation noted making faster strategic business decisions with 56% witnessing increasing cross-team collaboration. Further, the data stated that 48% of organisations have managed to make their business more agile.
Being data-driven is also allowing organisations to be more optimistic towards this turbulent time. The survey stated that around 76% of organisations are confident and looking forward to a promising future for their business.
While data-driven companies are reaping its benefits, the non-data-driven companies are facing massive challenges in grasping the importance of data. This demonstrates the prevailing disconnect of how businesses leveraging data and the potential for organisations to benefit from a more data-driven approach.
#news #data advantages #data driven companies #data driven decisions india #data driven organisation #data driven organisations gained advantage amid pandemic