~4 minute read

When we refer to data accessibility, we’re talking about removing barriers to fully leveraging the data contained in databases today. Great software solutions that support enhanced data access can empower anyone in any role or industry to rely on their data as a single source of truth, enabling them to derive critical insights and make informed decisions in their work.

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In today’s digital world, the abundance of valuable data presents both an opportunity to get ahead, and a hurdle to overcome.

Companies that take a data-driven approach to running their business must first make sure they’re actively collecting good data. But they also need to organize it, manage it, and ensure that the data is discoverable, explorable, and therefore useful. When these challenges are solved, data-driven decisions can be made and strategic action can be taken based on informative insights that stem from having an accurate and holistic view of business performance.

So, why is the topic of data accessibility so important? Simply put: data doesn’t mean much to businesses or individual team members if they can’t access it.

Read more: Why SaaS Leaders are Reimagining Data Access for Data-Powered Customers

There are hundreds of tools on the market aimed at making data more accessible, as evidenced by significant expansion in the realm of business intelligence and reporting software in recent years. These offerings vary significantly in the “levels” of data accessibility they offer.

More often than not, the level of data accessibility and the depth of analysis supported by these tools is inversely correlated with the system’s level of usability for the average person.

For example, building a custom report that pulls in data from several tables in a database can only be completed by a team member who knows how to query a database using SQL or another specialized query language. Once they’ve surfaced the requested data, that person might format the report into something more digestible for the intended audience or pass that duty along to another team member.

Sometimes, the data isn’t organized into meaningful visualizations or accompanied by helpful context at all.

Even with great BI tools, it’s power users who get the most out of data solutions today. They have the expertise required to build impactful visualizations and dashboards, the ability to write SQL to query data on an ad hoc basis, and working knowledge about how to create relevant conditions and navigate menus to analyze data effectively.

Read more: 4 Key Elements of an Exceptional Embedded Data Access Tool

But it’s not just power users who need data day-to-day. Front-line staff, brand new interns, mid-level managers, and busy C-suite executives all need data to achieve success. It’s imperative then, that data access solutions be built to combat barriers to critical insights and information, for everyone.

Providing excellent data accessibility means giving every business user the right tools for the job. This means already-powerful solutions must be improved with more intuitive, zero learning-curve data access features that support a broader range of user types.

SaaS providers that can deliver the level of intuitive, self-serve data accessibility that today’s business users demand will separate themselves from the pack and come out ahead in today’s increasingly data-powered economic landscape.


Delivering Next-Gen Data Access with AI

With a conversational AI-backed solution for data accessibility, users can type questions in their own words to search for the data they’re interested in, and they can do so from anywhere within an existing — and therefore familiar — software interface.

They can even easily build out dashboards without needing to learn how to set up parameters, how to combine dimensions, or how to navigate a series of complex dropdown menus and filters. Instead, they can build and edit dashboards in seconds, simply by typing questions in their own words.

This type of data accessibility tool — one that uses natural language to make databases accessible to any user — allows SaaS providers to either introduce new reporting functionality in their systems or augment their existing reporting and analytics capabilities to solve new use cases and provide better user experiences.

Through Chata’s robust API, providers can access the power of AutoQL: a powerful AI-driven system that enables the dynamic translation of text to SQL. AutoQL makes it possible for anyone to query a relational database and receive immediate answers, simply by asking questions in natural language.

For customers and end users, this kind of solution blends the zero learning-curve nature of pre-built reporting and analytics tools with the slice and dice and data exploration capabilities of a powerful BI tool, reducing cognitive load and promoting efficiency in data-driven workflows.

SaaS Provider's Guide to Delivering Data on Demand