Why we must make data as accessible as water or electricity

We’re excited to bring Transform 2022 back to life on July 19th and virtually July 20-28. Join AI and data leaders for sensible conversations and exciting networking opportunities. Register today!


Data empowers the modern world. Organizations of all kinds rely on vast, rapidly evolving and evolving datasets to provide more intelligent services and achieve business growth. Given its importance and ubiquity, data should be considered as useful as water, gas and electricity. But how can we achieve this?

We have all become hyper-aware that data should be readily available, relevant and accessible to all as we plan to keep up with current data and technology evolution rates. In this section, we will explore how organizations can use and utilize data as an utility, using open-source databases, data integration and modern data management tools.

Accessible data and democratization of data

Utilities are easy and accessible for everyone. Flip the switch and the light comes on, turn on the tap and the water comes out. The data should be equally accessible and reliable. This need has led to the ubiquity of business intelligence and the much-discussed democratization of data to enable the emergence of AI in the enterprise.

The first step in the process is the adoption of open-source technology, which helps to democratize access barriers to the use of technology and improve their quality and reliability. Democratization is an idea that everyone can use and take advantage of certain resources. Like Energy, open-source projects are accessible to everyone – and the community controls the direction in which those projects go, determining which features will be added and which use cases will be supported.

However, before organizations can begin to benefit from open source technology, business leaders need to decide what their business wants most out of it. It could be scalability, availability, security or a combination of all of these. Answering this question is the first step towards successfully taking advantage of open source and selecting technologies that simultaneously meet organizational needs.

Accessible data: Sustainable database provides easy access to data

Data accessibility is probably the most important factor in treating data as a utility. Powerful, modern databases will play a central role in supporting that accessibility. Emerging database technology should use the following – to enable it – and to ensure that organizations can easily get value from all of their data:

  • Hybrid Transactions / Analytical Processing (HTAP) architecture: HTAP Database technology supports real-time situational awareness and decision making on live transactional data and eliminates potential friction between IT and business goals.
  • Cloud-Native Architecture: Cloud-native databases offer improved agility, scalability, reliability, and availability compared to traditional databases.

The combination of the two – cloud-native, HTAP databases – will be especially important for any organization, for example in the ecommerce and finance sectors, which should support a large number of customer transactions and quickly expand data volume when creating new apps. To deliver new services.

Data integration enhances business results

The second step in making data act as a utility is to enable it to support certain business purposes. For example, organizations can optimize processes through data integration (or data sharing). From compiling high-related data and generating more robust data and analytics, resolving business challenges and paving the way to enterprise goals, the data sharing wheels continue.

According to the Sixth Annual Gartner Chief Data Officer Survey, data sharing is a business-facing key performance indicator that reflects effective connectivity and true enterprise value of data. In fact, data integration enables systems to gain knowledge and insights from structured and unstructured data, converting existing data into knowledge that can be turned into actionable insights, thus optimizing processes.

Institutions need to remove silos to achieve complete data integration. To do that, they should use a database that can provide unified insights into both analytical and practical data.

The role of data management tools

To create a culture with a data-sharing mindset, organizations should adopt management tools that enable team collaboration and productivity. Leaders should be aware that as the responsibility for data increases, so does the pressure to make it accessible to all organizations. Data management tools provide “glue” to enable data exchange in the organization and ultimately ensure that this change becomes a reality.

Working towards making data usable

Businesses and organizations of all types and sizes are increasingly relying on data to deliver new products and services. In order to drive continuous innovation and greater efficiency, data should become easier to access and use. This means that it is treated as a utility. Making the data necessary for the management of any modern organization a basic element.

Open-source databases, data integration and data management tools will be important for this transition – let’s get started.

Max Liu is the CEO and co-founder of PingCAP,

DataDecisionMakers

Welcome to the VentureBeat community!

DataDecisionMakers is where experts, including tech people working on data, can share data-related insights and innovations.

If you would like to read about the latest ideas and latest information, best practices and the future of data and data tech, join us at DataDecisionMakers.

You might even consider contributing to your own article!

Read more from DataDecisionMakers

Similar Posts

Leave a Reply

Your email address will not be published.