Signals

Enhance customer experience

Promote transparency and trust with timely alerts that keep your customers informed about their financial activities

Prevent financial losses

Identify and address potential revenue leakage issues promptly using proactive alerts

Improve decision making

React swiftly to market changes or customer behaviors with prompt access to relevant information

Learn how Signals can help Relationship Managers revolutionize their client relationships.

Benefits

Reduce risk and promote transparency and trust with automated alerts

Monitor customer behavior

Set your desired metrics and get automated alerts whenever your customer reaches the threshold

Efficient communication

Automated alerts facilitate efficient communication between RMs and customers, ensuring that important updates or changes are promptly conveyed

Customer communication compliance

Timely alerts enable banks to meet regulatory communication standards, ensuring precise information delivery on customer tier changes and offer expirations

Democratize data

Break down silos and democratize your data, empowering teams with near real time data

Experience features

An easy-to-use self-service interface allows you to quickly and easily build and maintain alerts

Proactive alerts

Generate alerts based on metrics and models without manual intervention, reducing the time required to identify and respond to potential events

Behavioral nudges

Empowers business users to generate bank-defined metrics at the customer and account levels for monitoring usage or fees and generate alerts to power behavioral nudges

Library of models

Easily use pre-defined behavior models to effectively monitor specific complex behaviors

Data and automation features

Use behavior data to monitor your performance and automate actions down stream

Metric monitoring

Continually observe each alert metric to assess whether the predefined threshold or variance has been reached

Embedded analytics

Aggregate data at the appropriate level to seamlessly integrate analytics into channel applications

Charge Transparency

Standardized metrics for usage and fees to distribute data enterprise-wide

Developer-friendly APIs

Standard APIs for downstream systems to trigger actions based on metrics details for the requested time-period

Development features

Integrate automated alerts to gain efficiency

Compute account-level fees and usage or customer-level dynamically aggregated results, and calculate a given metric at the time frame you require

GraphQL allows developers to request the specific data they need, reducing over-fetching and under-fetching.

Alerts sent an Kafka messages to enable flexible and scalable handling of alert events

1    {
2      "data": {
3      "metric_name": "ATM transactions metric",
4        "data": [
5           {
6              "transactions.transaction_execution_date": "2023-06-01T00:00:00.000",
7              "transactions.transaction_amount_sum": "2543.002543.00",
8           },
9           {
10              "transactions.transaction_execution_date": "2023-06-02T00:00:00.000",
11              "transactions.transaction_amount_sum": "2607.00",
12           },
13           {
14              "transactions.transaction_execution_date": "2023-06-03T00:00:00.000",
15              "transactions.transaction_amount_sum": "9003.00",
16           },
17           {
18              "transactions.transaction_execution_date": "2023-06-04T00:00:00.000",
19              "transactions.transaction_amount_sum": "1996.00",
20           },
21           {
22              "transactions.transaction_execution_date": "2023-06-05T00:00:00.000",
23              "transactions.transaction_amount_sum": "2434.00",
24           },
25           {
26              "transactions.transaction_execution_date": "2023-06-06T00:00:00.000",
27              "transactions.transaction_amount_sum": "4274.00",
28           },
29           {
30              "transactions.transaction_execution_date": "2023-06-07T00:00:00.000",
31              "transactions.transaction_amount_sum": "3400.00",
32           },
33           {
34              "transactions.transaction_execution_date": "2023-06-08T00:00:00.000",
35              "transactions.transaction_amount_sum": "6744.00",
36           },
37           {
38              "transactions.transaction_execution_date": "2023-06-09T00:00:00.000",
39              "transactions.transaction_amount_sum": "5269.00",
40           },
41           {
42              "transactions.transaction_execution_date": "2023-06-10T00:00:00.000",
43              "transactions.transaction_amount_sum": "5690.00",
44           },
45           {
46              "transactions.transaction_execution_date": "2023-06-11T00:00:00.000",
47              "transactions.transaction_amount_sum": "5323.00",
48           },
49           {
50              "transactions.transaction_execution_date": "2023-06-12T00:00:00.000",
51              "transactions.transaction_amount_sum": "6748.00",
52           },
53           {
54              "transactions.transaction_execution_date": "2023-06-13T00:00:00.000",
55              "transactions.transaction_amount_sum": "6959.00",
56           },
57           {
58              "transactions.transaction_execution_date": "2023-06-14T00:00:00.000",
59              "transactions.transaction_amount_sum": "3308.00",
60           },
61           {
62              "transactions.transaction_execution_date": "2023-06-15T00:00:00.000",
63              "transactions.transaction_amount_sum": "5437.00",
64           },
65           {
66              "transactions.transaction_execution_date": "2023-06-16T00:00:00.000",
67              "transactions.transaction_amount_sum": "4165.00",
68           },
69           {
70              "transactions.transaction_execution_date": "2023-06-17T00:00:00.000",
71              "transactions.transaction_amount_sum": "7391.00",
72           },
73           {
74              "transactions.transaction_execution_date": "2023-06-18T00:00:00.000",
75              "transactions.transaction_amount_sum": "3710.00",
76           },
77           {
78              "transactions.transaction_execution_date": "2023-06-19T00:00:00.000",
79              "transactions.transaction_amount_sum": "6309.00",
80           },
81           {
82              "transactions.transaction_execution_date": "2023-06-20T00:00:00.000",
83              "transactions.transaction_amount_sum": "5018.00",
84           },
85           {
86              "transactions.transaction_execution_date": "2023-06-21T00:00:00.000",
87              "transactions.transaction_amount_sum": "7706.00",
88           },
89           {
90              "transactions.transaction_execution_date": "2023-06-22T00:00:00.000",
91              "transactions.transaction_amount_sum": "4115.00",
92           },
93           {
94              "transactions.transaction_execution_date": "2023-06-23T00:00:00.000",
95              "transactions.transaction_amount_sum": "3111.00",
96           },
97           {
98              "transactions.transaction_execution_date": "2023-06-24T00:00:00.000",
99              "transactions.transaction_amount_sum": "5778.00",
100           },
101           {
102              "transactions.transaction_execution_date": "2023-06-25T00:00:00.000",
103              "transactions.transaction_amount_sum": "6129.00",
104           },
105           {
106              "transactions.transaction_execution_date": "2023-06-26T00:00:00.000",
107              "transactions.transaction_amount_sum": "7268.00",
108           },
109           {
110              "transactions.transaction_execution_date": "2023-06-27T00:00:00.000",
111              "transactions.transaction_amount_sum": "5700.00",
112           },
113           {
114              "transactions.transaction_execution_date": "2023-06-28T00:00:00.000",
115              "transactions.transaction_amount_sum": "3512.00",
116           },
117           {
118              "transactions.transaction_execution_date": "2023-06-29T00:00:00.000",
119              "transactions.transaction_amount_sum": "5479.00",
120           },
121           {
122              "transactions.transaction_execution_date": "2023-06-30T00:00:00.000",
123              "transactions.transaction_amount_sum": "5377.00",
124           },
125         ]
126       },
127       "statusCode": 200
128     }

Unify data from diverse sources into a cohesive, BIAN-aligned analytics and operational data store. Enable a comprehensive customer view, supercharge your analytics, and simplify data product development.

Learn more

Our approach

Zafin Studio

Our company

Drive customer engagement with behavioral nudges