View Full Transcript00:13 Banks have customer data trapped across  
core banking, CRM, risk systems, and so  
00:18 many other sources.  
Instead of waiting weeks for IT  
00:21 pipelines,  
the Denodo platform can deliver customer  
00:25 insights instantly, simply because there  
is no copying or moving data from these  
00:29 source systems.  
This is called zero copy delivery.  
00:34 Here is the Denodo platform data  
marketplace, which is an intuitive shop  
00:37 for data experience.  
Any business user here can just search  
00:41 as though you were using an internet  
search engine to find a curated data  
00:44 product.  
Let's do a quick search  
00:48 for customer metrics.  
As you can see, a data product has  
00:52 appeared with a description.  
This is a primary view for customer  
00:56 activity analysis, and we can use it to  
answer questions about active customers,  
00:60 >> \[music\]  
>> transaction volumes, visits, and  
01:02 engagement.  
Let's go inside and have a look at this  
01:05 data product.  
You can see that the semantics are  
01:08 already being built into the product.  
For example, it is tagged as personally  
01:13 identifiable information, which is very  
important.  
01:17 We've already seen the summary when we  
saw the preview of the product.  
01:21 And looking at the lineage of the  
product will give us a view as to the  
01:23 source systems from which we derive the  
actual insights.  
01:27 Through universal connectivity, Denodo  
federates real-time mobile logs from  
01:31 Apache Kafka, checking accounts from  
Postgres, ledger history from  
01:35 Databricks, and profiles from Snowflake.  
All this information is used to create  
01:40 what we call an active context for AI.  
This means that the data estate of this  
01:44 bank is simultaneously connected,  
governed, live, and semantically  
01:48 coherent so artificial intelligence can  
retrieve the right data, live data, and  
01:52 with the appropriate guardrails.  
Let us see an example of how artificial  
01:57 intelligence can give \[music\] us  
business insights from this data.  
02:00 This is our AI-powered assistant, which  
can be used for natural language  
02:04 queries, and no knowledge of SQL is  
required.  
02:07 Let's give it a simple query.  
List the name, email, and transaction  
02:12 count for our top five customers as a  
bulleted list.  
02:15 Now, you may notice that here I am  
logged in as an administrator with full  
02:19 privileges.  
So, when I query Denodo assistant, it is  
02:23 scrolling through what we described as  
our active context layer, which is  
02:26 represented by the metadata you see  
here.  
02:29 And it is collecting the insights that  
we asked for. And here we are.  
02:33 These are the top five customers.  
>> \[music\]  
02:35 >> The names and emails are clearly visible  
and the number of transactions.  
02:40 Now, of course, not everyone should have  
full visibility, and many banking  
02:43 professionals should not have access to  
customer information, such as email  
02:46 addresses, for example.  
If you remember, we had tagged this data  
02:51 product personally identifiable  
information.  
02:54 So, what if I am a data analyst?  
In this view, I am logged in as an  
02:58 analyst, and I do not have the same  
privileges as the administrator. \[music\]  
03:03 Let us ask the Denodo assistant the same  
question, but this time as a data  
03:06 analyst, list the name, email, and  
transaction count for our top five  
03:10 customers as a bulleted list.  
The process being followed is the same.  
03:15 Denodo is querying the metadata, not the  
actual data, to retrieve the information  
03:19 and insights that we need.  
And voila, here we go.  
03:24 As you can see, the key difference is  
that the names and the email address are  
03:27 hashed, while the transaction counts  
remain in plain text.  
03:31 The Denodo platform's governed access  
ensures security travels directly with  
03:35 the data product, no matter the source.  
Compliance is therefore automated at the  
03:40 point of consumption.  
This is Denodo as your AI data layer.  
03:45 We turn scattered data into semantic  
trust, giving your users and your AI one  
03:49 secure view of reality.  
03:52 >> \[music\]  
>> Mhm.



 

  

### 데이터 복제 없이 코어 뱅킹, CRM, 리스크 등 모든 시스템에 있는 고객 데이터를 실시간으로 연동합니다

은행의 데이터는 대개 여러 시스템에 분산되어 있어 신뢰할 수 있는 인사이트를 제때에 제공하기가 어렵습니다. 디노도 플랫폼은 분산된 데이터를 실시간으로 연결하는 AI 데이터 레이어를 제공하고 일관된 시맨틱, 거버넌스, AI에 활용할 수 있는 액티브 컨텍스트를 구현할 수 있습니다.

비즈니스 사용자와 AI가 적절한 가드레일를 통해 올바른 데이터에 안전하게 접근할 수 있고, 데이터는 원본 시스템에서 거버넌스됩니다.

**완벽한 연결성, 제로 카피 배포, 액세스 거버넌스, 시맨틱 신뢰**

**디노도가 AI를 위해 은행의 데이터를 어떻게 변환하는지 확인해 보시기 바랍니다**



 

 

 

  

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