Data Analytics 
with AI / ML 

In an increasingly data-driven future, we guide you
on the path to data enlightenment, leveraging
Advanced Analytics, AI, and Machine Learning.

ourstories1
Back
to Top
Description of the image

Overview

Data Analytics with AI / ML

The availability of virtually unlimited and relatively inexpensive compute and storage capabilities in the cloud today, along with advances in both the capabilities and usability of AI software, offer unprecedented opportunities to ‘crunch the numbers’ in new and exciting ways.

A key challenge lies in understanding your available data assets and deficits. Providing secure accessibility to those assets and addressing the deficits in data capture lays the foundation for exploring your data and uncovering insights that can transform your business.

While AI offers game-changing new opportunities, it also comes with substantial risk. It is crucial to ensure any use of AI is always beneficial, responsible, trustworthy, ethical, secure, and private.

Services

Data Governance and Management

Data Governance and Management

Data Governance and Management

Ensuring that data assets are optimized, trustworthy, and leveraged to benefit the entire organization.

  • Policies and Procedures -
    Establishing and enforcing standards, guidelines, and procedures related to information assets.
  • Data Quality -
    Ensuring data is accurate, consistent, and timely.
  • Data Architecture & Modeling -
    Designing the structure and relationships of data.
  • Data Lifecycle Management -
    Overseeing the flow of data through its lifecycle stages, from creation and use to archival or disposal.

Data Science and Engineering

Data Science and Engineering

Data Science and Engineering

Ensuring that data-centric insights and predictions are based on a solid foundation that maximizes the value that an organization can derive from its information assets.

  • Exploratory Data Analysis (EDA) -
    Understanding the characteristics of data through visualizations and statistics.
  • Data Architecture & Management -
    Designing, implementing, and maintaining the data platform.
  • Data Integration & Automation -
    Building and maintaining the digital pipelines that gather data, transform it, and make it available to systems, data scientists, and other information workers.

Reporting and Analytics

Reporting and Analytics

Reporting and Analytics

Summarizing and presenting information to stakeholders in a format that is easy to understand and trust.

  • Report implementation and Optimization -
    Aiding all stakeholders in understanding and making informed decisions derived from the data sourced from trusted systems.
  • Advanced Analytics -
    Leveraging sophisticated techniques and complex algorithms to enable simpler, richer, deeper insights.

Artificial Intelligence (AI) and Machine Learning (ML)

Artificial Intelligence (AI) and Machine Learning (ML)

Artificial Intelligence (AI) and Machine Learning (ML)

Leveraging modern computing power to predict future trends, discover deeper insights, and provide better recommendations.

  • Public AI Utilization -
    Realizing quality and productivity improvements from internet-based AI services while minimizing potential hidden dangers.
  • Private AI Implementation -
    Tapping the huge value of your propriety data and knowledge to powerful and security bespoke AI solutions.
Xlightbox

Outomes

ConsumerPackagedGoodsRetail

Data-Driven
Decision

Making - Make informed decisions, identify trends, and predict customer behavior based on data, rather than intuition or guesswork.

BankingFinancialServices

Business Flexibility
and Agility

Data maturity enables organizations to react and adjust more quickly and effectively to changing conditions, whether internal or external.

Franchising

Enhanced Risk Management
and Threat Mitigation

Active data governance and oversight can substantially reduce exposure to cyberattacks, malicious activity, and even errors and omissions.

Differentiator Summary

Our rich background in virtually all aspects of data management, processing, analytics, AI and related technologies guides our holistic approach to information technology solutions in general.

We focus on bringing the game-changing capabilities of advanced analytics, artificial intelligence, and machine learning to all our clients, custom conceived and designed.

By leveraging our complementary knowledge in operations management and cybersecurity, we can help our clients ensure that they are effectively addressing the applicable risks and threats when deploying solutions based on AI/ML.

Our deep partnership with and experience with Microsoft and its cloud offerings allows us to deliver cost-effective and highly impactful data solutions for our clients quickly and cost-effectively. Microsoft provides the tools, and DivIHN shows you the way to business data enlightenment

We can make a very positive
difference for you.