Category: Data Analytics
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What is a Data Lake?
A data lake is a solution for storing large amounts of data easily, all in one location rather than scattered across an organization. This article is an introduction for business leaders to understand what a data lake is, when one could be used, and why it matters to data-driven businesses.Managing vast amounts of data can…
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A Complete Guide to Data Warehousing Services (DWaaS) & Consulting
Data warehousing services are designed for companies that do not have the time, expertise, or resources to effectively manage a cloud data warehouse. As businesses navigate the complex terrains of data-driven strategies, having a robust data warehouse service is non-negotiable.Whether you’re migrating to a cloud data warehouse solution or seeking expert cloud data warehouse consulting…
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Why Do I Need A Data Team & Business Intelligence Consulting?
Every company is after data-driven decision-making, looking for trends in past performance to predict future risks and opportunities. Strategic planning requires clean data and people who understand the business’s most important signals and key performance indicators (KPIs). Therefore, data can be your company’s competitive advantage, but it takes a team to surface insights. Table of…
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What Is Product & Customer Analytics? Overview of Solutions & Services
Table of Contents What is customer analytics?What is product analytics?Understanding Other Types of Customer AnalyticsWhat is customer 360?What is customer journey analytics?Why is customer analytics important?What is the relationship between customer analytics and product analytics?Benefits of Using Product & Customer AnalyticsInsight Into Your Customers’ Behavior & JourneyImprove Customer Experience Through Customer-Centric InsightsHow to use customer…
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What Is Analytics as a Service (AaaS)? Overview of Data Analytics Services & Consulting
Data is necessary to run your business, but it is more complicated than ever. The right data analytics solutions allow you to focus on making an impact with your data, instead of managing your data. Or worse–having an unmanaged data mess on your hands. Read on to learn about analytics as a service, data anlaytics services,…
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What is Data Transformation? Insights into Metrics & KPI Tools
Data transformation is like a magic wand for your business data. It takes messy, hard-to-understand information and turns it into something you can actually use. Imagine having clear, easy-to-read stats and facts at your fingertips. That’s what good data transformation tools do.But we’re not just talking about cleaning up numbers. With the right software, you…
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How to Build A Data Analytics Team: 3 Key Job Titles
Often, the question for companies getting started in professionalizing their data analytics culture is where to start in building our their data analytics team. Should their first hire be someone technical who can really get the data working, or do they hire someone as an analyst who understands the business? What data analytic job titles…
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What is ETL/ELT? A Guide to Data Integration, Extraction & Replication
Table of Contents ETL Is The Process of Moving & Combining Data from Disparate SourcesWhat Is Data Integration?What is ETL? / What is ETL in data?What Is The ETL Process?What Is Data Extraction?What Is Data Replication?What Is Data Transformation?What Is Data Loading?What Is ETL In A Data Warehouse?What Are ETL Tools & ETL Software?What Is…
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What is the Modern Data Stack? A Quick Guide for Non-Technical Professionals
Let’s break down the modern data stack and what it means for normal business people (i.e., not data engineers). Table of Contents Defining the “Stack”Understanding the Old Data StackWhat is the Modern Data Stack?Four Key Components Of The Modern Data Stack:1. Data Sources: Gathering the Raw Material2. Data Warehouses: Organizing and Storing Data3. Metrics: KPIs…
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What Is A Data Analytics Platform? Types, Benefits, & How To Choose
What is a Data Analytics Platform?A data analytics platform is an integrated suite of tools and products that provides the capabilities for data analytics. These capabilities include extracting data from data sources, cleansing data, combining data, calculating metrics, analyzing, monitoring, error reporting, data reporting, and data sharing.In this article, we will explore different types of…