Methodology + Expertise = Insights Accelerated

Data & Analytics Resources

We want to share our knowledge, lead by example and inspire in others the value of data insight.

 

Case Studies

Case Study: Centralizing Data and Resources to Transform into a Data-Driven Organization

The Data Ideology team guided the client in defining the optimal alignment of their IT resources to principal functions in enterprise data management.

Case Study: Modernizing an Organization to Drive $10M ROI

Data Ideology provided a comprehensive analysis of key metrics and business processes that could help the client identify high priority areas where centralized data solutions would be needed first.

Case Study: Turning Stale Data Into Direct, Daily Insights with Power BI

The Data Ideology team led an in-depth discovery session with the various business stakeholders to understand their future-state systems and reporting requirements.

Case Study: Creating multiple Tableau Dashboards with Little Time and Limited Resources

The client had a hard deadline to build and deploy an external reporting application via tableau server to deliver timely, actionable insights and system-wide visibility of data to clients, both historical and real-time reporting.

Power BI

Power BI

Self-Service Power BI with Shared Datasets

Leveraging the shared datasets feature from Power BI allows your company’s analysts to work from a single source of truth.
Power BI

Sharing a Power BI report within Teams

Do your business users have trouble finding reports and navigating through the Power BI Service? If your organization uses Microsoft Teams, you can embed a report directly in a channel for greater visibility.
Power BI

Six Reasons to Consider Power BI Premium

Capabilities to bring together self-service analytics and enterprise analytics solutions.
Power BI

Power BI Download Options: App vs MSI

Many Power BI users don’t realize that there are actually two methods of getting Desktop on your PC.
Power BI

Implementing Power BI Report Usage Metrics

Ever wonder how often your Power BI report is being viewed? Set up a Usage Metrics report to monitor who’s utilizing your report.
Power BI

Exploring the Decomposition Tree Visual in Power BI

Struggling to get business users in sync about how to slice and dice a metric in a report?
Power BI

Exploring DEV / TEST / PROD Environments in Power BI

How to utilize Development, Test, and Production environments to release reports with Power BI.
Power BI

Power BI Reports vs. Dashboards

A common mistake for new Power BI users is not knowing the difference between reports and dashboards.
Power BI

Driving Power BI Adoption

Deciding upon and getting the appropriate tools is only the first step of the journey to a successful adoption.
Power BI

Five Questions You Need To Answer To Get The Most Out Of Power BI

You bought Power BI, now what?

Snowflake

Snowflake

Snowflake Advantages

Success with Snowflake will lead to building a data foundation that future initiatives can build on to further advance and grow the organization’s data and analytics capabilities.
Snowflake

Five ways Financial Services Can Benefit from a Cloud Data Platform like Snowflake

Cloud computing and its capabilities have become an essential part of supporting financial services organizations, as many are launching digital transformation initiatives.
Snowflake

Snowflake ELT vs. ETL

There are two main data movement processes for the Snowflake data warehouse technology platform. Extract, Transform, and Load (ETL) vs. Extract, Load, and Transform (ELT).
Snowflake

How Snowflake Delivers A Single Data Experience Across Multiple Clouds And Regions

Snowflake’s core architecture is built on a multi-tier cloud data platform that scales independently. Snowflake’s multi-cluster shared data architecture consolidates data warehouses, data marts, and data lakes into a single source of truth that enables any data workload on any cloud with a simple, powerful, and flexible platform.
Snowflake

How can the Snowflake Cloud Data Platform transform your organization? Part 2

One platform to build your data apps.
Snowflake

Data Science Powers the Data-Driven Organization of the Future

Data Scientists and a traditional scientist have a lot in common.
Snowflake

How can the Snowflake Cloud Data Platform transform your organization? – Part 1

One platform to build your data apps.
Snowflake

Snowflake's Modern Platform Solves Data Challenges

Building a Modern Data Platform with Snowflake can alleviate many organizational challenges.
Snowflake

Why choose Snowflake Cloud Data Platform?

There is no shortage of data warehouse technology platforms that can serve as the foundation for your organization’s modern data platform.

Tableau

Tableau

The Tableau Suite of Products

The Tableau Platform consists of several products that are designed to enable users to integrate various data sources and create data visualizations that can be shared throughout the organization and externally. Here is everything that is included in the Tableau suite of products. Tableau Prep Tableau Prep allows users to prepare data for analysis by combining,
Tableau

Exporting DATA from Tableau to Excel

No matter how beautiful and informative and actionable your Tableau visualizations may be, there will always be a person or use case for exporting data to a tabular format usually via excel.

Data Management

Data Management

The Value of Data Integration

Integration streamlines the data lifecycle to enable a data-driven organization by moving the data closer to the point of action.
Data Management

The Value of Data Management

The increasing speed and pace of business contributes to several data challenges.
Data Management

Why Methodology Matters in Analytics

Organizations realize the tremendous benefits associated with getting data into the hands of everyone who needs it, while moving the data closer to the point of action.
Data Management

Data Warehouse: Keys to Success

A centralized data warehouse can serve the needs of numerous business units simultaneously.
Data Management

Managing the Organizational Dynamics

The increasing speed and pace of business contributes to several data challenges.

Categories

14 percent of investment professionals use credit card and POS software data to derive data.

59 percent of executives say big data at their company would be improved through artificial intelligence (AI).

53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.

60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles

61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.

Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.

26 percent of businesses say data and analytics have significantly changed the nature of industry-wide competition.

8 percent of businesses say data and analytics have fundamentally changed the nature of industry-wide competition

50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.

30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.