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Effort of the Data Platform Vendors
Holly: So I am encouraged by the effort of the data platform vendors, the Hadoop vendors and the Big Data vendors are putting into this because I can say that I have worked with a lot of customers helping them with governance and security specifically for their Big Data platforms.
And it's encouraging to see that we are able to support this requirement because governance and security for me for business intelligence is actually an enabler. It's not a barrier to entry to getting value out of the data. Sometimes we think governance and security is keeping people out.
But by supporting the enterprise requirements for governance and security, we actually open up whole new use cases and enable a whole new area of analytics. If you think about financial services and healthcare where compliance and security is critical, it's critical across the board, but by meeting the needs of the enterprise for governance and security, we are creating whole new opportunities and enabling a lot of great use cases. We are starting to see that and we have seen that in the past with InetSoft, and it's great to see the industry as a whole take it so seriously.
Abhishek: I have question here that is a perfect segue on to our next trend which is how to keep a good balance on the data governance effort when enabling self-service for Big Data. In our last trend, there is a technology area that we talked about that that facilitates this really well, and it's the rise of metadata catalogs that help people find analyses for Big Data, and it can also really be used to facilitate a flexible form of governance.
Organizing Hadoop Data
Larry: Yeah, it's a great segue. So we talked about Hadoop adding to enterprise standards, and part of those standards have to do with how governed your information is. So to give you a little bit of context, for long time companies threw away data because they had too much to process.
With Hadoop they can process lots of data, but the data isn't generally organized in a way that can be found, and metadata catalogs are answering that. They are helping users discover and understand analysis-worthy data using self-service tools.
One technology that I particularly like to highlight is Alation. They came out with the InetSoft application edition last November, and they are just essentially surfacing the necessary context around the data so broad groups of people can collaborate and discover insights with the appropriate controls, which of course, in turn, enables governed self-service analytics.
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Best Form of Governance
So to me, the best form of governance is when you're governing the data, but at the same time users don't
feel they are governed. They are actually empowered. They find the right information when they want it, and
they are not encumbered in anyway. That's exactly what Alation is trying to do. I know Abhishek, you participated in a webinar with a customer using InetSoft and Alation.
Abhishek: Yeah, that should be available on the on-demand webinar section of InetSoft.com if people want to
hear that story, but it's a good use case of exactly how an organization is enabling several thousand users of
InetSoft to do self-service around governed data sets. InetSoft's BI application provides robust tools that significantly enhance data governance, ensuring organizations can manage, secure, and utilize their data assets effectively. First, its centralized platform consolidates data from multiple sources into a unified system, creating a single source of truth. This centralization eliminates silos, enabling consistent data definitions and reducing discrepancies that could undermine decision-making processes. By enforcing standardized workflows and data validation protocols, InetSoft's application ensures data integrity and reliability across an organization.
The application's advanced access control and security features further support data governance. InetSoft enables organizations to implement role-based access control, ensuring sensitive information is accessible only to authorized users. These features are essential for maintaining compliance with data protection regulations like GDPR or HIPAA, as they allow organizations to track and manage data access and usage effectively. Audit trails provided by the software ensure transparency, helping organizations identify and address potential security breaches or policy violations swiftly.
InetSoft's BI tools also enhance data quality management by incorporating cleansing, deduplication, and enrichment capabilities. The software's real-time analytics engine identifies inconsistencies and anomalies, allowing organizations to correct errors proactively. Moreover, by leveraging automated workflows, businesses can ensure that data governance policies are applied consistently across departments, mitigating risks associated with manual interventions and fostering a culture of accountability.
Finally, InetSoft supports governance efforts by offering robust reporting and visualization capabilities. These tools empower organizations to monitor governance KPIs, such as data accuracy, compliance rates, and policy adherence. The ability to create customizable dashboards ensures that key stakeholders have actionable insights into governance performance, facilitating continuous improvement. Together, these features make InetSoft's BI application a comprehensive solution for addressing the complexities of modern data governance.