The Holistics Blog

Rewriting the AML Compiler in Rust: 27× Faster, 12× Less Memory

Why we re-implemented Holistics' AML compiler from TypeScript to Rust: ~27× faster compiles and ~12× less memory at the median. On the largest project it went from 67s at 8.5 GB to 1.8s at 2.0 GB.

AQL: A Better Output Query Language for Agentic Analytics

AI analytics needs a purpose-built output language. We compare SQL, metric DSLs, and measure-aware SQL, then explain why we designed AQL for composable, governed, verifiable analytical reasoning.

Product Updates: Power BI Migration, New Explore Interface, Embed Events, and More

June 2026 product updates: Power BI Migration Skill, New Explore Interface, Embed Events, Oracle Connector, KPI Metric Styling, and Color Palettes as Code.

Holistics Joins House Mates, ClickHouse’s New Partner Ecosystem

Holistics has been selected for the first cohort of House Mates, ClickHouse's formal partner ecosystem. Here's why Holistics is the right BI and AI analytics platform for ClickHouse teams.

Product Updates: Smart AI Follow-ups, Branded AI Chatbot, Dashboard Auto-Run, and More

May 2026 product updates: Smart AI Follow-ups, Branded AI Chatbot, Dashboard Auto-Run, Auto-Abbreviate Numbers, and local agentic AI development.

Product Updates: AI Chat History, BYO LLM, Open Semantic Layer, Dynamic Content Block, SCIM, and More

April 2026 product updates: AI Chat History, Bring Your Own LLM, Open Semantic Layer API, Dynamic Content Block, SCIM provisioning, and SSO enforcement.

Product Updates: Chat to Refine Charts, Dynamic Content Block, Mobile View, and More

March 2026 product updates: Chat to refine charts, cleaner field descriptions, mobile view configuration, email updates for embedded users, and Dynamic Content Block.

A Quick Way To Get On Top Of Your Company’s Data: Create a Spreadsheet-Based Data Dictionary!

A data dictionary is a document that assists you in navigating your team's mountain of data. We show you how to create a spreadsheet-based data dictionary with Excel and dbdiagram.io.

Why is Text-to-SQL so hard?

Why is Text-to-SQL so hard? Why is there a need for it? What are its challenges? Is there a way to make it easier?

Product Updates: Verify AI, Collaborate on Dashboards, Auto Mapping, Quick Filtering and More

January 2026 product updates: Verify AI Answers, AI in Embed, simultaneous dashboard editing, Auto Field Mapping, Quick Filtering, dashboard component reuse, and faster saving.

Product Updates: Context Control, Embeddable AI, and More

December 2025 product updates: Context Control for AI, Embeddable AI, Default Dashboard Templates, Search by Description, Canvas Dashboards in Personal Workspace, and Calculation Builder improvements.

The Future Of Self-Service BI Is AI-Guided

What does the future of self-service business intelligence look like?

Slice n' Dice: A Self-Service Story

Introducing Holistics AI: Your Thought Partner for Self-Service Analytics

We’re introducing a simpler, faster way to explore data in Holistics: you just need to chat with Holistics AI.

Make Tableau work better for you with Holistics

The Goldilocks Rule of Getting Data Driven

Introducing Holistics Canal - a fast query streaming engine

Canal aims to provide much better performance, maintainability, and scalability throughout Holistics querying operations.

The 4 Types of Data Scales

Numbers aren't all created equal; they fall into four distinct categories known as data scales. Understanding this, you'll learn how to handle each type correctly to make your data work for you.

Aggregate Awareness: Optimize query performance with pre-aggregates

Automatically pick the most optimal aggregated tables per each query for maximal query performance.

Introducing Canvas Dashboard (Dashboard As Code)

Turn rigid dashboards into living documents, rich with interactivity, business context, and storytelling.

The Self-Service Analytics Maturity Scorecard

How to Restructure Data Teams Effectively, the Modern Analytics Leader, and the Evolution of Data Roles: An Interview with Christine Jiang

For this week’s episode of Designing Data Organizations, we spoke with Christine Jiang, former Director of Core Analytics at Vimeo, who was with the organization between 2020 and 2024.

Effective Performance Tracking, Analytics as a Strategic Partner, and Managing Globally Distributed Teams at ZoomInfo: An Interview with Michael Perlis

Designing Data Organizations is brought to you by Holistics, where we delve into the intricate process of creating and optimizing data teams within organizations.

Metrics Deserve Better Composition Than What SQL Allows

The Three Types of Fact Tables

A concise tour of one of the basic components of Kimball dimensional data modeling. We explore the three types of fact tables, and then analyze why they have lasted the test of time.

Data as a Thermostat, the Necessity of Reorganizations, and Data Generalists vs. Data Specialists at Wayfair: An Interview with Nachiket Mehta

Designing Data Organizations is brought to you by Holistics, where we delve into the intricate process of creating and optimizing data teams within organizations.

4 levels of Analytics-as-Code

How did Analytics-as-Code evolve? We explain the history behind the movement, and present the 4 levels of analytics as code over the years.

Data Teams as Product Teams, Managing Growing Teams, and Good KPI Design at Trade Republic: An Interview with Hannes Felsberg

Designing Data Organizations is brought to you by Holistics, where we delve into the intricate process of creating and optimizing data teams within organizations.

You’re a Data Leader About to Get Laid Off. Here’s What You Can Do

Death to Dashboards, Really?

Are dashboards really 'dead'? A response to a vendor trend that seems rather premature.

The Emotional Needs of Dashboarding

Treating your dashboards like a product means thinking about ALL of your user's needs — rational or otherwise.

Nailing An Analytics Interview Case Study: 10 Practical Strategies

10 practical tips/strategies I extracted myself when doing analytics case study as part of job interview process.

The Two Forms of Metrics: Interval vs Point

In actual business conversations, the metric's form is sometimes ignored and implicitly understood. Understanding this concept gives you much better clarity in dealing with metrics.

The skills chasm of the data analyst career

Why are so few data analysts get good at business problem-solving?

Data Careers: Dealing With Being in a Cost Center

Building a career in data often means building a career in a business cost center. This isn't necessarily bad. Here's how to think about it.

LLM Is Not Enough (For Self-Service Analytics)

Press Release: Holistics Achieved Select Tier Partner Status with Snowflake

Holistics.io the self-service BI platform, announced that it has achieved Select Tier partner status as part of the Snowflake Partner Network

How Would An Ideal Semantic Layer Look Like?

It's Official, Holistics Is Now SOC2 Compliant

How to run a Data Clinic (aka Data Office Hours)

Data clinic is one of many ways you create value and drive your organization toward better data literacy. Here's how.

Data analysts, think about your work from the business stakeholders perspective

The Misleading Data Analyst Job Title (and Career Ladder)

Investment analyst is an entry-level investment position. So is data analyst an entry-level data position, too?

Business Metrics vs Customer Metrics

The Silos between Data Analysts and Data Engineers

The Silos of Data Organization: Data Analysts vs Business Users

Analytics as Code

A short story about my history with programmatic configuration (or lack thereof) and how it's related to analytics.

Holistics August 2021 Product Updates

What is an OLAP Cube? An Exhaustive Explainer

The definitive explainer for OLAP cubes, where we cover every single possible definition for the phrase.

A 2020 Reader's Guide to The Data Warehouse Toolkit

Ralph Kimball's classic book The Data Warehouse Toolkit introduce the world to the practice of data modeling. Here's how to read it in 2022.

Read Data Research Papers

A hack for when you don't understand data jargon.

The Six Ways People Deflect Inconvenient Data

We take a look at an exhaustive list of reasons people give when they want to ignore anomalous data.

Fitting Into Your Company's Learning Cadence

How a data person might fit into your company's learning cadence, and what that means for company performance.

The Intuition Behind The Rule of 40

The origins and intuition behind a famous SaaS business metric.

Holistics March and February 2021 Product Updates ☀️

For the past two months, we've been shipping some great features to improve your experience and interactivity inside Holistics.

Obsess Over Controllable Input Metrics

Why Amazon's notion of measuring controllable input metrics is a lot more profound than you might think.

This is How Amazon Measures Itself

How Amazon uses metrics. A summary of chapter 6 of Working Backwards, the first book to explain how Amazon really works.

Simple Data People Tricks

Simple data people tricks, a hierarchy of feature stores, and Shreyas Doshi on product metrics.

How Amazon Uses Input Metrics

How Amazon uses input metrics, a data pipeline is a materialized view, and the case against self-service data and analytics.

Snowflake and the Data Lakehouse

A quick look at what Snowflake's been up to re: the Data Lakehouse, an inside look at Amazon's data-driven decision making, and how Airbnb customized Superset to fit their needs.

Holistics January 2021 Product Updates 🎉

We've shipped 2 new features in January 2021: Bulk actions and Top/Bottom N filters.

The Data Lakehouse is a Thing

The data lakehouse is a thing, Superset is also a thing, and how to make dashboards using a product thinking approach.

So You Want To Find an Analytics Engineering Job?

Looking for an analytics engineering job in your locale? Read this.

What We Know and Don't Know About Analytics Engineering

Everything we know and don't yet know about the emerging role of analytics engineering.

Three Data Industry Questions We're Investigating For The New Year

Three changes in the data landscape we're investigating over the next few months.

Holistics December 2020 Product Updates 🎉

Five Things We're Pretty Sure About

Five quick things we know to be true, written for the end of the year.

Embrace The Data Schlep First

Every cool data project has some schlep up front. Here's why it's a good idea to keep that in mind.

Holistics November 2020 Product Updates 🎄❄️

Another festive season is coming! If you haven’t got any plan for the upcoming holidays, here’s our little suggestion: Explore Holistics’ newest features and improvements.

Introducing an improved Conversion Funnel

Applying The Principles of Agile to Data Modeling

In our third and final part on Agile Data Warehouse, we take a look at the origins of the Agile Manifesto, from which Corr and Stagnitto took inspiration.

A Business Process Worth Measuring

The second part of our series on Agile Data Warehouse Design, a 2011 attempt at applying the principles of agile to the practice of data modeling.

First Impressions from Agile Data Warehouse Design

Agile Data Warehouse Design is a 2011 attempt at applying the principles of agile to the practice of data modeling. This is the first post in a series on the ideas from the book.

Holistics October 2020 Product Updates

We've shipped 3 new features this month: Metric Sheet, Point Map and Adhoc Export.

The Four Flavors of Goodhart's Law

Goodhart's law says that 'when a measure becomes a target, it fails to become a good measure. Here are four ways that occurs.

A Short Story About SQL’s Biggest Rival

A short story about SQL's better rival: Michael Stonebraker's storied query language, QUEL.

Top 5 Data Books To Read in 2020

Stuck at home during the pandemic? We give you Holistics's top five data books to read in 2020.

Why is Data Analytics So Far Behind Software Engineering?

Why does data analytics and business intelligence lag behind the best practices and tooling of software? Two anecdotes and a theory.

Business Intelligence Lessons from Softwar: A Portrait of Larry Ellison And Oracle

What we can learn from Softwar, a book about Larry Ellison's attempt to take over the enterprise software world.

Gartner's FrontRunners 2020 Ranks Holistics As Top 3 Data Analysis Tools By Customer Satisfaction

Holistics was ranked one of the top 3 data analysis tools globally by Gartner's FrontRunners 2020 report, in terms of Customer Satisfaction. Only 20 out of 176 software products considered were selected for this list.

Redshift, Snowflake, and the Two Philosophies of Cost

What intermix.io's forced acquisition tells us about the two philosophies of cost in data analytics.

A Dive Into Metadata Hubs

A look into metadata hubs, which might just be the hottest category of data tools of the past two years.

Measuring a Company When a Company Is Mature

We take a look at the business fundamentals of the operations stage — the last of three stages in a company's life.

Understanding the Scale Stage

The scale stage is the second of three stages in a startup's life. In this post, we discuss what product-market fit means, and then we look at healthy growth (the kind that leads to winning) and unhealthy growth (the kind that leads to company death).

What It's Like Being a Growth Hunter Intern at Holistics

This is one of the #lifeatholistics stories written by our Intern graduate.

Redash limitations and top alternatives

Redash is a good, popular open-source SQL-based BI tool that can be installed easily on local environment to get a simple SQL-to-chart functionality going. Yet as your analytics needs grow, you might face some pain points when using Redash

How to unnest / extract nested JSON data in MySQL 8.0

In this article, we will demonstrate how to use the JSON_EXTRACT and JSON_TABLE functions in MySQL8.0 to convert JSON table into tabular data for analysis and reports, and also how to utilise it in Holistics for drag-and-drop reports.

Measurement Before Product Market Fit

A startup's first job is to create a customer. We take a closer look at how that affects the metrics you measure at the product stage of a startup's lifecycle.

How Metrics Change When Your Company Grows

When your company grows, the metrics that matter changes along with it. Here's a look at the three growth stages of every company, along with the metrics that matter most at each stage.

The Magic Money Machine Model

One way to get better at business communication is to learn the fundamentals of business. We explain Return on Invested Capital from first principles, written with the data analyst in mind.

How to unnest / extract nested JSON data in BigQuery

Holistics Jun 2020 Product Updates

We've shipped 3 new features this month: AWS for Holistics 3.0, New Navigation Bar, Better Relationship Display

Clearer Communication: How To Use The Ladder of Inference When Communicating Data To Your Business Users

If you work in data analytics, communicating complex information is just part of your job. Here's how to use the Ladder of Inference to get better at it.

Announcing The Analytics Setup Guidebook: The First Principles Approach to Data Analytics

We're releasing The Analytics Setup Guidebook, a first-principles approach to data analytics. Get it free today!

Holistics May 2020 Product Updates

Discover our new and May-verllous features: Data drill-through, Smart date parser, Filter suggestions, and more!

Use Holistics to boost your eCommerce sales with data

Learn how to leverage data to craft personalized messages to your customers, pinpoint your business' Achilles heel and take timely actions!

Data Quality from First Principles

Why data quality is an ongoing, people, process, and tools problem, and how to think about getting better at it.

Introducing Holistics Open-source Smart Date Parser

Smart Date Parser allows users to input date/time expressions that are more natural/closer to your day-to-day language, and output date/time values that adhere to programming language's standards.

A Complete Guide to Analyze Pipedrive data with Holistics for Free

This tutorial will show you simple steps to build an interactive dashboard to visualize your Pipedrive data using Holistics.

A Complete Guide to Build Reporting Analytics on CSV / Google Sheets using Holistics for Free

I'll show you 5 simple steps to integrate CSV / Google Sheets and build a real time dashboard by using Holistics.

Slowly Changing Dimensions (SCDs) In The Age of The Cloud Data Warehouse

What a new approach to slowly changing dimensions tell us about the future of dimensional data modeling.

When Doing Digital Transformation, Think Capabilities, Not Maturity

Why maturity models can be a bad idea, and why using a capability model is a better idea for digital transformation.

How to Measure Software Development, from ‘Accelerate: The Science of Lean Software and DevOps’

Tracking the performance of your software development team is really, really difficult. The 2018 book Accelerate: The Science of Lean Software and DevOps gives us a fantastic way to measure just that. Here's how.

Why Measuring Cash Flow is More Important Than Measuring Profitability

Why your CEO is so obsessed with cash flow metrics, and what you can do to help as an analytics person in your company.

What It's Like Being a Growth Hunter Intern at Holistics

This is one of the #lifeatholistics stories written by our Intern graduate.

The Two Philosophies of Cost in Data Analytics

There appears to be two philosophies today when it comes to managing costs in a modern data stack. We explore what they are.

What It's Like Being a Designer Intern at Holistics

Creative designer intern Teo shares his experiences working at Holistics Indonesia.

Developing an Intuitive Understanding of the SaaS Quick Ratio

An explanation of the SaaS Quick Ratio that focuses on the intuition behind the metric. Written with the data analyst in mind.

OLAP != OLAP Cube

There's a tendency for people to conflate OLAP with OLAP cube. We take a quick look at how this happens, why it shouldn't, and why it matters if you're a data practitioner.

The Rise and Fall of the OLAP Cube

A definitive history of the rise of the OLAP cube, how it's affected our industry, and what comes after.

How to Create Data Models from External Data Sources in Holistics

In Holistics, you are now able to create data models on top of external data sources like MongoDB and Google Sheets. Here's a video tutorial on how to do exactly that.

How We Combine Data Sources at Holistics

Good data teams combine data from different sources in order to do their jobs well. Here's what we've learnt while putting this into practice at Holistics.

Judge Your Company: Using The Three Levels of Data Analysis For Data Career Decision-Making

Data team careers are different from equivalent careers in software engineering, product management, or UI design. Here's how to evaluate prospective employers as part of your data career.

Why Google Analytics sucks and what you can do about it

Google Analytics is an incredible tool to have in your toolbox. But it only offers aggregated data, which limits your ability to track visitor behavior. In this post, we discuss a simple, affordable alternative to GA that we've implemented at Holistics.

The rise of SQL-based data modeling and DataOps

The resurgence of SQL-based data modeling is a something we should all be interested in. Here's why it's important.

How To Choose A BI Tool - Insights from Datanest

“There is nothing so terrible as activity without insight.”  Insight has become an essential need for every company in order to understand what the company is experiencing, why it happens, and what might come in handy in the future.

Hire Your Data Analysts First

In the past, setting up an analytics department meant hiring data engineers first. But in a cloud-first world, you can and should hire data analysts first. Here's why.

Custom SQL with Tableau? No Problems

Using custom SQL for your Tableau workbooks is usually a really bad idea. Here's how using Holistics with Tableau makes this a non-problem.

Effortless Materialized Views for Tableau with Holistics

Tableau may be the best data visualizer on the planet today, but Holistics makes Tableau more awesome, by making data prep trivially easy.

Data Analytics for the App Generation

We live in the age of apps — and therefore, the age of data. This presents us with an unparalleled opportunity for data analytics, as well as an unparalleled challenge! Here's how to not get left behind.

When Should You Get a Data Warehouse?

Occasionally, we get asked “when should we consider getting a data warehouse?”. The answer is a lot simpler than you think!

Holistics — The Best Affordable Alternative to Looker

Holistics Data Modeling, Explained

Holistics's data modeling layer allows data teams to radically increase their productivity. No repeated queries. Self-serve reports and dashboards. Here's how it works.

How Holistics Fits Into A Data Organisation

The new version of Holistics is designed from the ground up to increase the productivity of your data team. Here's how that works.

When Measuring Performance, Find Lines in the Sand

One of the most useful ideas from the 2013 book Lean Analytics is the notion of 'lines in the sand' — concrete values that tell you how well you're doing on a metric that matters.

Lean Analytics Part 2: The Stages of a Data Driven Startup

In Part 2 of our summary of Lean Analytics, we cover the five stages of a data driven startup, and the book's tips for creating a data-driven culture in your company.

Lean Analytics Part 1: An Introduction to Analytical Thinking

In the first part of our comprehensive summary of Lean Analytics, we examine the basics of analytical thinking, explore six startup business models, and examine the metrics that matter the most to each.

The Two Types of Operating Indicators

In operational analytics, you're either looking at a leading indicator, or you're looking at a lagging trend indicator. Here's why this particular categorisation is so useful.

Launch a Product to 200,000 Users with 0 Dollars Spent on Marketing Budget

How we managed to launch a database designer to more than 100,000 users around the world without a budget.

Beware What You Measure: The Principle of Pairing Indicators

When you're implementing company-wide analytics, it's easy to fall into the trap of measuring only one metric. Don't. The principle of pairing indicators is why.

Setup A Google BigQuery Data Warehouse In 3 Minutes

Gartner's FrontRunners 2019 Lists Holistics As Top 2 Most Usable BI Tools Globally

Holistics listed by Gartner's FrontRunners 2019 among the top 2 most Usable business intelligence tools globally, for the second consecutive year running.

Qualitative data-driven: How we boost team alignment and customer empathy by written communications

How Data Analytics Helps MyanLearn’s Operations: Holistics Data Platform (Guest Post)

As we are still a very small startup, we do not have a dedicated data team but we want to democratize data access. Holistics plays a big role in our company by providing visualization and reporting features via connecting with our database.

Get Your Answers Efficiently With Holistics Concurrent Workers

Connecting Amazon Athena To Visualize And Query S3 Data, Using Holistics

A step by step guide and video for querying S3 data to build reports and charts, by using AWS' Amazon Athena and Holistics.

Making Our Tiny Feature Free, We Got 20,000 Users and 2,500 Leads within 2 Months - Part 1: Build

dbdiagram.io Many to Many Relationship and Diagram Generator SQL Script

Optimizing Embedded Analytics Dashboard Performance by Pre-transforming Data

Your embedded analytics dashboard in Holistics takes a long time to load, thus impacting your customers' experience. This post shows you how to optimize the performance of embedded dashboard by preaggregating the data.

How to Set-up your own Google Cloud PostgreSQL database and Start Automating your Business Intelligence Operations using Holistics

How Planogram and Share of Shelf (SOS) Reports Maximise Revenue for Retail and FMCG Companies

Planogram and Share of Shelf/Space (SOS) reports are key field execution reports that are important concerns for decision makers to carry out the marketing strategy. In this article, we will explain what Planogram and SOS reports are.

4 Case Study Questions for Interviewing Data Analysts at a Startup

A good data analyst is one who has an absolute passion for data, he/she has a strong understanding of the business/product you are running, and will be always seeking meaningful insights to help the team make better decisions.

December 2018 Update: Our Top 5 Favorite Holistics Moments

Increase Sales Through Data-Driven Insights With Holistics For Pipedrive

Inner Join: Ending The Year Strong (November 2018)

Almost the end of the year! Has it been a good one? We're gonna try to make it better. Here's our November update and year end highlights!

How To Setup Reporting Analytics For MongoDB

Many Mongo users get stuck going from MongoDB data to analytics. Getting data out of Mongo and into a relational database lets you build your reporting workflow.

How to Query MongoDB Using SQL

In this tutorial, you will learn how to query your MongoDB with SQL and use it for different purposes such as Analytics, Embedded Analytics, Machine Learning, Statistics etc.,

Gartner's FrontRunners 2018 Lists Holistics Among Top BI Tools

Holistics was listed by Gartner's FrontRunners 2018 as one of the highest ranked business intelligence tools for Usability and User Recommendations.

The Holistics Way Of Life

We believe that doing meaningful work requires giving people independence and autonomy. That’s why at Holistics, we are creating data champions.

How to Visualize Your Rails ERD Diagram Instantly

Learn how to use this simple free tool dbdiagram.io to visualize your Rails ERD diagram, made by Holistics

Automating Email Reports And Marketing Operations With AppsFlyer Data: Holistics X AppsFlyer Data Masterclass (Holistics Crash Course #5)

Your marketing team has tons of useful data from your mobile app for tracking and attribution. In this webinar, we show how Holistics and AppsFlyer, lets you work with these raw datasets, to automate email reporting and develop data-driven marketing operations,

dbdiagram.io - A Database Diagram Designer Built for Developers and Analysts

What is a Pivot Table?

The 4 Basic SQL Commands: SQL Basics 101

How Do I Prepare for A Data Analyst Interview?

Preparing for a data analyst interview can be intimidating. Learn a few tips to help you prepare your interview better.

Managing Sidekiq Workers And Processes

At Holistics we use Sidekiq, the de facto Ruby background processing framework. By combining the reliability of Sidekiq Pro and our own retry logic, no back-end job gets lost or forgotten.

Holistics supports native Google Analytics integration!

View metrics from your Google Analytics data in a simpler dashboard format.

How We Built Our MRR Dashboard (Using Pipedrive & Holistics)

Want to customize and automate MRR reporting, to suit your company's specific data needs? Luckily, Holistics integrates with Pipedrive, here's our guide!

Automating Email Reports from Big Data Lakes (Qubole+Holistics)

Struggling to draw insights regularly from your data lake? Accessing data lakes for timely insights does not need to be technical or difficult. Using Holistics and Qubole, you can schedule reports to be emailed automatically, from your data lake straight to your inbox.

August Product Updates!

Holistics Crash Course: Embedded Analytics In Your Applications

Learn about our Holistics Embedded Analytics feature, which allows our customers to embed their Holistics dashboards into their own applications or web services, using secured iframes (just like embedding a YouTube video).

Startup Data 101: Building Scalable Data Infrastructure With Holistics (Rezdy Guest Post)

Infrastructure is only as good as the business value it provides. The use of data in a startup, becomes increasingly important as its number of users grows.

Holistics Crash Course: Automated Data Reporting (Email & Slack Schedules)

Scheduling the delivery of data insights and datasets is simple with Holistics. Now you can automatically send reports and dashboards via email and Slack, from your SQL database.

3 Things To Consider When Choosing The Right BI Tool!

3 Points to Consider When Deciding Between Google BigQuery and Amazon Redshift!

What to choose between BigQuerry and Amazon Redshift when it comes to build a cost-efficient, fast, and reliable data warehouse?

Why should you have a Public Roadmap and how to build your Public Product Roadmap

Inner Join: Relentless Improvements - Holistics June 2018 Update

“It’s not about how good you are, it’s about how good you want to be” That's why at Holistics, we're always learning and thrilling for improvements, to serve our users better! Let’s have a look into what we’ve done in June 2018

Holistics Crash Course: Applying Holistics for Business Users

With the intuitive design, Holistics is not only a powerful tool for Analysts but also a lean and easy-to-use data self-serve portal for less technical users. Accessing data becomes as easy as using a phone app. No training required!

Hide/Show Columns in a Report based on User Permission

Holistics Crash Course #1: Data Governance with Holistics

How to Update Your Data In Google Spreadsheet Automatically (from Database)

Learn how to use Scheduled Google Sheets Export to get your data from different sources into google spreadsheet and update them automatically.

The Analyst Guide to Designing a Modern Data Warehouse

High level guide for data analysts and engineers starting their first data warehouse project.

Data Analyst or Excel Monkey? (Becoming a 10x Data Analyst)

When people think of data analytics, they often think of charts and visualizations. However, the 10x data analyst cannot just be a visualizer. There are several abilities and techniques that a data analyst requires to truly become fully empowered and effective.

Learning SQL - Why it is critical for Analysts

As a derivative of the development of technology, the importance of data to business is indisputable. Converting that information into insights becomes a business advantage. Understanding data flows to be able to work with data is essential for all Analysts.

Holistics celebrates the Lunar New Year!

Holistics celebrate Lunar New Year 2018 with festive designs.

How To Interview A Data Analyst Candidate

How do you usually interview a data analyst candidates? In this article, I'll share some of the guidelines and areas you can focus on when interviewing a data analyst candidate. These serve as pointers to aid with your interview.

Data Lake vs Data Warehouse vs Data Mart

How We Built A Job Queue System with PostgreSQL & Ruby For Our B2B SaaS Application

Why and how we built a multi-tenant job queue system for our B2B SaaS Application with PostgreSQL and Ruby

ETL vs ELT: How ELT is changing the BI landscape

Understanding Your Average Customer Value Over Time (CVO)

4 Ways to Improve Dashboard Performance

Knowing Your Key Metrics

In his early days of investing, Warren Buffett drove to the airport at Omaha to pick up David Strassler, a New York based businessman whose family bought and fixed distressed companies.

Quick Guide: Calculate Cohort Retention Analysis with SQL

Useful PostgreSQL Queries For Monitoring Purpose

When Engineering drives Growth: Why we release everyday

The benefits of how an engineering-driven culture drives the growth of Holistics, a data analytics company

Why and How We Migrated from AngularJS to VueJS

Quick Guide: Converting Rows to Columns — Pivoting with SQL & BI Tools

Holistics Data Journey - How Data Is Applied In Governments, Non-profits vs. Private Organizations

Holistics Data Transforms for Performance & Clarity

How Holistics help to join, standardize, clean, pre-process, transform data for reporting.

Combining Data Sources: The Holistics Approach

How Holistics Business Intelligence helps customers combine data from different sources. Without storing their data.

3 features Data Analysts love about Data Reporting with Holistics

3 key reasons why data analysts love Holistics

Combining Data Sources: Approaches & Considerations

Analyze how the way different vendors addresses the problem of combing data from different sources

Embed Analytics Dashboards Into Your Applications

Our Experience Going Through YC Startup School (B2B Startup)

Creating A Culture Of Metrics With Metric Sheets

Introducing Geo Heatmap Feature

Introducing Annotations

Moving From Redshift to Presto - Data Engineering at Grab

Freezing Report Table Header For A Better Experience

Quick Guide: Building Daily + Running Total Report With SQL

SQL Is The New Excel

Quick Guide: Setting Up Your Own MySQL Instance Using Google CloudSQL

Splitting array/string into rows in Amazon Redshift or MySQL

Quick Guide: Reusing Your SQLs with Query Templates

Tableau vs Holistics

Why You Should Use Postgres Over MySQL For Analytics Purpose