Access all your data – both structured and unstructured – easily, and securely  

31 Jan, 2024 •

access all you data

There are several obstacles to easily accessing all your corporate data. Let’s break it down: 

1. Ease. You want anyone on your teams to be able to easily access the information they are authorized to see. That means non-technical profiles too. Until now, they’ve been constrained by whatever the experts, i.e., the data and analytics teams, can provide. 

2. All data. There are a lot of gritty technical details behind the simple concept of “all of the data.” A key challenge is that 80% of corporate data, is unstructured or semi-structured data. Data is hidden in emails, web pages, social posts and so on. That’s hard to extract and convert into meaningful information. 

3. Securely. Data security is paramount with threats everywhere. How to best protect your data from external threats? 

Let’s explore each topic in detail. 

Ease  

Data needs to be easily accessible, ideally in the way humans think, i.e., the ad hoc nature of asking questions. The ad hoc nature of analysis is both “in-the-moment” and iterative. However, this ideal is hindered by the traditional approach requiring both in-depth business intelligence and data skills. Often this means waiting for days for a report that may not have all the right information.   

Default reports and dashboards can provide a reasonable starting point, and it is possible BI assets are sometimes developed by data analysis experts who understand how to access and navigate the data model behind the scenes. Often those efforts can solidly address the more common reporting requirements; however, in most scenarios, network planners need to go much deeper and pivot to many other related questions – all very quickly, iteratively, and in-the-moment. 

Staff need to be able to hypothesize and analyze on-the-fly. However, the company usually cannot offer real-time access to centralized BI teams. Typically, staff do not have the deep BI skills needed to get answers within the minutes or seconds for a question “in-the-moment.” 

All Data   

Companies commonly have dozens and sometimes hundreds of valuable sources of data, across many systems. Often, companies build data warehouses or data lakes to federate the data into one location. This approach is costly, time-consuming, and does not cover 100% of the data needed to solve known and unknown business challenges.   

  1. Structured data is located within databases and easily accessed in columns and rows. 
  1. Unstructured (or semi-structured) data refers to information that doesn’t easily adhere to a pre-defined data model or structure. Unlike traditional structured data found in databases, unstructured data is not easily organized into rows and columns. Examples include: 
  1. Email 
  2. PDFs like invoices  
  3. Web pages like wiki pages 

Extracting valuable insights from unstructured data can provide a competitive advantage as it often contains rich information. 

Secure 

Most SaaS approaches require you to set up sophisticated virtual private networks (VPNs) with rigorous compliance measures that control and monitor how data is vacuumed up from your systems into a data cloud, whether a database or data lake. 

But wouldn’t the best security posture be to never let your data leave your network in the first place? 

The solution: AI-powered chat interface that understands your data   

DvSum CADDI (“Conversational Analytics for Data Driven Insights”) allows support agents, technicians, and executives to find data and insights themselves with self-service BI by simply chatting with data in natural language.   

DvSum securely combines OpenAI’s GPT-4 with a powerful underlying data infrastructure – including data catalog, data governance, and data quality. Therefore, any authorized user can query data quickly, easily, and iteratively.  

With out-of-box connectors, it is set up and running with your live data within four weeks.  

DvSum’s patented architecture allows you to securely work with your existing data sources and systems. Data never leaves your network.  

Built on a strong data-foundation, the DvSum Data Insights platform also includes a data quality module that can help standardize and harmonize data to drive more accurate reporting and insights.  

dvsum data insights platform
DvSum CADDI understands the data landscape and automatically accesses multiple databases and systems to quickly provide an answer and the sources cited to confirm the reasoning behind the answers.

Conclusion   

DvSum CADDI empowers the telecommunications professionals to become more autonomous and productive with self-service BI to achieve “in-the-moment” analysis. Contact us today to see how DvSum CADDI can help you.  

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