Databricks Manufacturing China

Anker

Enterprise Knowledge Search · Supply Chain Optimization

Anker is pioneering power delivery technology to charge phones, tablets and laptops at unprecedented speeds, whether at home, in the car or on the go. Key to their ability to improve operations and margins is the use of data to optimize almost every aspect of the business — from automating manufacturing to using data insights to inform product road maps, marketing strategies and demand forecasting.

1,000+ BI reports and dashboards
500+ Employees using Databricks Data + AI Platform
Anker opted to unify over 200 terabytes of data from business, product, marketing and sales sources on the Databricks Data + AI Platform.

Reported impact

Business outcome

Reported outcomes include 1,000+ BI reports and dashboards; 500+ Employees using Databricks Data + AI Platform; Anker opted to unify over 200 terabytes of data from business, product, marketing and sales sources on the Databricks Data + AI Platform..

  • Cost Reduction
  • Productivity Improvement
  • Revenue Growth

Solution

Anker built its Databricks implementation around Agent Bricks, Delta Lake, Delta Sharing, Unity Catalog. Anker is pioneering power delivery technology to charge phones, tablets and laptops at unprecedented speeds, whether at home, in the car or on the go. Key to their ability to improve operations and margins is the use of data to optimize almost every aspect of the business — from automating manufacturing to using data insights to inform product road maps, marketing strategies and demand forecasting. Agent Bricks provides the agentic and generative AI runtime used to build domain-specific applications. Delta Lake stores curated lakehouse tables with ACID guarantees for downstream analytics and machine learning. Delta Sharing shares governed datasets with external partners and downstream consumers. Unity Catalog applies centralized governance, lineage, auditing, and access control across shared data assets.

Data flow

Source data is ingested into databricks, curated in Delta Lake tables, processed with Databricks compute and orchestration services, and exposed to downstream analytics and users. It connects with push.

Solution architecture

6 components · 5 layers
  1. Compute
    • Agent Bricks Provides the agentic and generative AI runtime used to build domain-specific applications.
  2. Storage
    • Delta Lake Stores curated lakehouse tables with ACID guarantees for downstream analytics and machine learning.
  3. Serving
    • Delta Sharing Shares governed datasets with external partners and downstream consumers.
  4. Governance
    • Unity Catalog Applies centralized governance, lineage, auditing, and access control across shared data assets.
  5. Uncategorized
    • More from More from is part of the named implementation described in the customer story.
    • Anker Innovations Technology Anker Innovations Technology is part of the named implementation described in the customer story.

Architecture clues

  • Agent Bricks
  • Delta Lake
  • Delta Sharing
  • Employees using Databricks Data + AI Platform
  • Legacy infrastructure creates data silos and high operational costs
  • Unity Catalog

Evidence from the source

1,000+ BI reports and dashboards
500+ Employees using Databricks Data + AI Platform
Anker’s first instinct was to build their infrastructure through native AWS services, but they soon reached a breaking point as the DevOps resources required to interconnect disjointed services were too high. “Our data engineering and scien
As they evaluated cloud platforms, they quickly disqualified Snowflake since it didn’t meet their requirement of operational simplicity and unifying data, analytics and AI under the same platform. With a focus on democratizing data across t
With Delta Lake providing a unified storage layer for various levels of data, users can collect, process, analyze and visualize large amounts of data. Once data is in the lakehouse, they use OpenSharing to make data available to the data an
“Data governance was a particular pain point for us since we couldn’t give table-level control to the data,” said Li Shu, Data Architect at Anker. “In order for different users to access data, they had to depend on the owner of the data, wh
Transparency Evidence & methodology 96/100 reference value · 94% confidence · 3 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value96/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence94%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    3 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Databricks

    Anker customer story

    First-party
    https://www.databricks.com/customers/anker-innovations-technology
    Source type
    Vendor-published customer story
    Published
    Aug 28, 2023
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Anker Innovations

    Our Story - Anker Innovations

    First-party
    https://www.anker-in.com/story

    Anker says it is "headquartered in Changsha, China."

    Source type
    Official company website
    Supports
    • Region
  3. Yahoo Finance

    Anker Innovations Technology Co., Ltd. (300866.SZ) Company Profile & Facts - Yahoo Finance

    Independent secondary
    https://finance.yahoo.com/quote/300866.SZ/profile/

    The Yahoo Finance company profile lists "Full Time Employees: 6,239."

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

  • Published on source page Aug 28, 2023 · Databricks · First-party
    Open date source
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.