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Unlocking the power of location data with Snowflake and Precisely

  1. Unlock new business insights using addresses and data enrichment in Snowflake Tim McKenzie David Mosher
  2. Genomics IoT Social tech GPS 3G/4G Smart phones Storage & cloud Search Machine learning Advanced analytics Speech -to- speech Fully ubiquitous internet Ubiquitous sensors Wearables VR/AR Blockchain Artificial Intelligence 5G Bio- metrics LiFi 3D printing Bioprinting Biochips Micro data centers Natural language Smart robots Affective computing Drones 2000 Data Integrity Deliver accuracy, consistency & context Big Data Include any kind of data from anywhere Cloud Make data elastic, easy & accessible Data Warehousing Centralize transactional data for reporting Data Integrity is today’s business imperative
  3. Transition to Snowflake Customers are adopting the cloud at a faster rate than ever before! Public cloud growth in 2022, to $495 billion 20% Snowflake growth in last 12 months 70% Snowflake grew over 70%!... We’re hearing industry analysts say that even the most risk-sensitive sectors and business processes are now turning to the cloud… for its benefits of cost reduction, scalability, and flexibility. Unlock new business insights using addresses and data enrichment in Snowflake 3
  4. Snowflake A single consolidated source for all data; efficient and high-speed data warehousing • Easy to use , self service platform: data engineering, data science, and data sharing for all users across an organization • Measurable cost benefit compared to on-premises data centers • Major trend to replace existing on- prem data warehouse with Snowflake • Snowflake’s performance and scalability enables fast analytics and reveals new Unlock new business insights using addresses and data enrichment in Snowflake 4
  5. Addresses are everywhere Person Place Thing • Policyholder • Subscriber • Constituents • Customer • Service Locations • MLS Listings • Shipment Locations • Competitor • Invoices (bill & ship to) • Infrastructure • Web searches • Package Addres s Addres s Addres s Addres s Unlock new business insights using addresses and data enrichment in Snowflake 5
  6. Challenges of managing addresses Current Challenges Increased Costs & Missed Opportunities Incomplete, non-standardized, and inaccurate addresses Inaccurate and imprecise location coordinates assigned Increase in manual intervention needed to remedy errors Inability to create commercial data products and deliver business insights Models built on data containing duplicate records and inconsistencies Inability to identify the closest facilities and properly add context Unlock new business insights using addresses and data enrichment in Snowflake 6
  7. What is geo addressing? 7 Geocoding Identify a physical location Geo Addressing Address Verification Verify a mailable location Trusted Location ID Unique & persistent ID Unlock new business insights using addresses and data enrichment in Snowflake
  8. Challenges of managing addresses Best Case Scenario Benefits For Your Business Clean, complete, and standardized addresses Accurate and highly precise location coordinates assigned Fewer errors and significant decrease in manual intervention needed Ability to create commercial data products and deliver business insights Models built on clean, standardized, and deduplicated addresses Ability to identify the closest facilities and accurately add context Unlock new business insights using addresses and data enrichment in Snowflake 8
  9. Snowflake integration of Precisely APIs Asynchronous Snowflake Integration Layer Precisely Cloud SELECT MyExternalFunction FROM table1; HTTP POST request HTTP response Kubernetes Cluster Node 1 Node 2 Node n Control Plane External Function API Integration cloud ^ Unlock new business insights using addresses and data enrichment in Snowflake 9
  10. A Data Integrity Suite customer was able to achieve a 10% uplift in geo addressing performance with an implementation time of only 5 minutes Unlock new business insights using addresses and data enrichment in Snowflake 10
  11. Providing context to business data powers faster, more confident decisions Unlock new business insights using addresses and data enrichment in Snowflake Enriching business data makes sense, but geospatial data is complex • Leverage addresses as a common factor to bring data together • Verify, standardize, and manage the address • Enrich addresses with more attributes providing context 11
  12. Location-enabled data cloud Customers eCommerce Orders Stores Web Traffic Call Center Interactions Mobile App Interactions Geocoding and location intelligence capabilities to organize and enrich your data Distribution Network All of your sources Any structure or frequency Analytics capabilities for any use case or persona Ad Hoc Data Science Low-cost, rapid experimentation with new data and models. Explainable Machine Learning High volume, fine-grained analysis at scale served in the tightest of service windows. BI Reporting & Dashboarding Power real-time dashboarding directly, or feed data to a data warehouse for high-concurrency reporting. Real-time Applications Provide real-time data to downstream applications or power applications via APIs.. PreciselyID ROAD NETWORK PUBLIC PLACES REAL WORLD BEHAVIOR WEATHER EVENTS HAZARD & RISK DATA BUSINESS LOCATIONS EVERY ADDRESS PROPERTY DETAILS PROPERTY OWNERSHIP SCHOOLS & NEIGHBORHOODS POPULATION DEMOGRAPHICS PARCELS & BUILDINGS
  13. Demo

Hinweis der Redaktion

  1. Tim Now the focus on data has been increasing in recent decades. If you think back to around 2000, large structured powerful data warehouses existed and were producing hundreds of reports and could store loads of data, but they were expensive and rigid. Tasks such as adding new data or created a new report was a time-consuming IT project. 2010 – 2015 – Big Data emerged and technologies such as Hadoop came on the scene. An advantage was that organizations could store information on commodity servers, leverage the computing power from those resources, and process huge amounts of data together and ask complex questions, but to get value, specialized skills were still needed, and Big Data still required largely on-premises systems to grow and scale. So then the capabilities moved to the cloud and vendors like Snowflake and Databricks appeared. They separated storage and compute resources and simplified the interface so that people who knew SQL could use them. To date, this was most cost-effective and simplified way to share data across an organization. But the data integrity challenge remains – if you look at a report and something is wrong, it calls into question all the information and you don’t have that level of confidence to move forward. That is where data integrity comes in…. how can you build data you can trust
  2. Tim
  3. Tim
  4. Dave
  5. Dave
  6. Dave Mailable, deliverable - Confirming the accuracy of postal (per country) information Transforming location information, like an address, into location coordinates & vice versa (Reverse Geo) - PHYSICAL LOCATION & not all Addresses have a physical location Address Autocomplete, [also known as: Typeahead, Interactive, Predict, Autocomplete, Geocomplete] - Performs search to retrieve list of places by input text and location vicinity. Address Autocomplete takes free form text as input. It could be a part of an address. Location could be provided either as latitude/longitude or as country ISO code. It returns consolidated list of addresses based on the input text.
  7. Dave Add something about costs More confidence that the modeled results are driving better decision-making Confident that communications are going to the right people, increasing customer satisfaction Lower costs due to reduced time spent tracking down duplicate records problems
  8. Dave This must be a familiar scenario for the Snowflake users or Data Engineers(in a broader aspect), where one can submit a query within a Snowflake worksheet. To append Geo Addressing columns, the user must call an external function which then will use the snowflake API integration. Calling an API is equivalent to going to a restaurant and looking at the menu and ordering the food of your choice. With the same analogy, after selecting an appropriate API for their use case such as standardizing, geocoding, parsing an address, or appending tax attributes…sky is the limit here. A user will get enriched and valuable attributes just by running simple SQL queries. In the background, which is a black box for our users, the snowflake will send the batches of addresses using HTTP POST to Precisely cloud, which is deployed on a k8s cluster enabled with autoscaling and load balancer, the address batch will then be resolved using the available computing power and our secret algorithms. Once the response is ready it will then be sent to the snowflake. Using this enormous power to compute, the user can match any level of performance criteria. Moreover, the snowflake Async integration layer, it makes it easy for the address batch packets to be in a dynamic queue and not get lost in transition. Here, I would like to make a correction in my topic and name it “Precisely Cloud APIs”
  9. On your screen, you see a simple snowflake marketplace snapshot but this is where the user can add 10k more attributes to one single address by doing simple joins. Our geocoder will output a unique and persistent ID named Precisely ID. Using data from the snowflake marketplace user can append the relevant data such as Risk, Property Attributes, Historical and dynamic weather attributes to make a valuable decision.
  10. Tim Unique Persistent Identifier Exact
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