Modernize for Data Analytics: GAP’s Data Ingestion Process Whether you’re creating, consuming or curating data, what can you do with it from there? Regardless of where your datapoints come from, GAP can help you ingest, transform and analyze your critical data. This realizes opportunities to scale, mobilize and monetize the information you’ve collected. Using an automated process to eliminate the need for manual, resource-consuming data engineering, GAP’s Modern Data and Analytics Platform can provide useful, strategic insights into your business in just an hour or two.
GAP’s Data Ingestion Process
Identify data (signal, audience, transaction, etc.)
Collect data
Deliver data into accessible platform
Analyze & gather key insights
Normalize & optimize
Apply insights to solve specific challenges
Real-World Applications
Ingest data from a real-time feed (millions per minute), transform and convert into insightful dashboards.
Leverage your data sources to create "data as a product" strategy to open new lines of revenue for your business.
Ingest data from operational databases, transform to analytics structures and provide answers needed to run your business.
With the help of our GAPBuilt Accelerators and machine learning, GAP’s data ingestion engine filters your raw data into an accessible central data warehouse for analysis. At this point, the processed data can be actualized and turned into new insights you can apply to any number of objectives.
GAP's process to Modernize for Data Analytics through its Advisory and Architectural Consulting can help take your data to the next level. GAP is a proud Snowflake partner, helping you build data-intensive applications without operational burden.
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