Microsoft Commercial and Professional Services Mexico

Iké

Customer Service Automation · Document Processing · Enterprise Knowledge Search

Iké is an assistance services company that faced the challenge of upgrading its server infrastructure.

99% more mature With the digital transformation underway, Iké obtained quick results.
It achieved 99% data maturity, standardized a governance model, and ensured its security.
This digital transformation allowed Iké to achieve 99% data maturity, be more efficient, reduce costs
This digital transformation allowed Iké to achieve 99% data maturity, be more efficient, reduce costs and democratize access to information.

Reported impact

Business outcome

Iké improved data availability and security with Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, Azure Databricks and Azure AI Services.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Iké used Azure AI Services, Power Platform, Azure Databricks to replace disconnected manual workflows with a more consistent digital operating model. Low-code automation and copilot capabilities orchestrate tasks, route work, and surface context to agents or business users without requiring separate point solutions. It also connects with surrounding systems such as WhatsApp, which lets the new Azure-based workflow fit into existing operations rather than standing apart from them. Iké improved data availability and security with Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, Azure Databricks and Azure AI Services.

Data flow

Data flows from operational systems through source-system connectors into Azure Data Lake Storage, where Azure Databricks prepares and enriches it; business applications then exposes governed analytics and decision support to end users.

Solution architecture

5 components · 3 layers
  1. Compute
    • Azure AI Services Supplies prebuilt AI capabilities such as language, speech, or vision services within the application flow.
    • Azure Databricks Transforms large-scale data and runs analytical or machine-learning workloads.
    • Azure Synapse Analytics Runs integrated SQL and big-data analytics across enterprise datasets.
  2. Storage
    • Azure Data Lake Storage Stores raw and curated data for analytics, AI, and downstream reporting.
  3. Orchestration
    • Power Platform Provides the low-code automation and application platform for workflow modernization.

Evidence from the source

Francisco Javier Alvarado, Data Engineering Manager at Iké, highlights: "Working on Azure not only improved the information availability, but we can also save and enjoy benefits." The adoption of advanced tools such as Microsoft Azure...
From there, the company could rely on the services from Microsoft Azure Synapse Analytics Microsoft Azure SQL Database , and Microsoft Azure Data Lake , among others.
Iké improved data availability and security with Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, Azure Databricks and Azure AI Services.
Iké is an assistance services company that faced the challenge of upgrading its server infrastructure.
This digital transformation allowed Iké to achieve 99% data maturity, be more efficient, reduce costs and democratize access to information.
Transparency Evidence & methodology 95/100 reference value · 89% confidence · 1 source

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 value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    5 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference 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. Microsoft

    Iké customer story

    First-party
    https://www.microsoft.com/en/customers/story/19275-ike-asistencia-azure
    Source type
    Vendor-published customer story
    Published
    Oct 23, 2024
    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

Date evidence

  • Published on source page Oct 23, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.