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Choosing An Analytics Tool You Can Grow With

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Chioma Dunkley, Technical Content Writer

May 5, 2022 NaN minute read

The right analytics tool can accelerate data-driven insights at any organization. 

For data analysts who are working with spreadsheets and have no previous analytics tooling, the productivity level of an analytics tool can be monumental. The data workflow can be drastically condensed by cutting down the process of switching back and forth between SQL Editors, Python or R Notebooks, Github, and CSVs. Brand new insights can be generated by bringing lots of disparate data together (like product and marketing) and your analytics tool can help democratize data over time, letting analysts focus on strategic questions while stakeholders answer their own.

For data teams looking to upgrade their analytics tools, it’s not about just choosing a more modern option for the data team, but also choosing a tool that makes it easy for stakeholders to join in on the analysis.

For the entire organization, an analytics tool can act as a trusted single source of truth for company KPIs and department dashboards as data needs start to grow, helping the entire company operate on data faster.  

When is it time to consider an advanced analytics tool?

If you are struggling to bring together and analyze data, it’s probably a sign you need an advanced analytics tool. But what happens if you find an analytics tool, begin to see growth in your company and with that growth, a resurfacing of new data roadblocks? What you need is not just any analytics tool, but an analytics tool you can grow with.

What does it look like to have an analytics tool that your data team and company can grow with?

Broadly, it looks like having a flexible enough analytics tool that can help with short-term and long-term business goals; it means that you’re able to start right where you are, at whatever stage of data maturity you’re in, and drive data insights across an organization quickly. 

More specifically, it means being fast enough and complex enough for data teams to use as they mature, and approachable enough for stakeholders to access and explore data on their own.  

Mode is that analytics tool you can grow with, and below, we’ll walk through why, while addressing what you should look for in an advanced analytics tool.

What you should look for in an advanced analytics tool you can grow with

A consolidated workflow for the data team

When data lives in different platforms, answering data questions becomes a slow, disjointed process and way more difficult than it has to be. Mode provides an all-in-one workflow for analysts that makes it easy to bring all of your data together in one place.

  • Jumping in and out of data notebooks, SQL editors, and CSVs takes time. By combining an SQL Editor, Python & R Notebooks, and visualizations powered by Helix (our in-memory data engine), Mode unites the data analyst’s workflow into one platform.

  • When you’re first starting out, you might have data in different tools. In Mode, you can bring data from different sources—Google Analytics, Salesforce, Intercom, Marketo, to name a few—into one place for more comprehensive analysis. Once your data is loaded into a database like Snowflake, Redshift, Google BigQuery, PostgreSQL, you can access it in Mode, cleaned or raw, to get a more complete picture with data from across departments.

Collaboration features, so you can work on data with other stakeholders

Great analysis almost always needs to be informed by others. With governed data exploration for stakeholders, it’s easier to collaborate on analysis within your data team and across departments in Mode. 

  • With Explorations, and features like drilldowns, filters, and calculated fields, Mode provides a user-friendly space where stakeholders can take action on data insights and run analysis themselves without having to write any code and without affecting the underlying code–making it simpler for other team members in like marketing, product, customer, and others to join in on the data conversation. 

  • Mode’s Visual Explorer helps team members and stakeholders create their own visualizations and answer their own questions with chart types they’re familiar with like pivot tables, scatter plots, and funnel charts

Easy data sharing capabilities

Data insights are not just for the data team. Insights need to be shared across the company to influence decision-making and meet company KPIs. Mode makes it easier for data to be shared with permissions settings within and outside of the data team.

  • Embed data where your team members are. With Internal Embeds and White-Label Embeds, you can share reports across various platforms internally and externally. You have the ability to share reports on your website, on a blog, or in other platforms like Salesforce.  

  • With Mode’s many integrations you can make important data more accessible at the time they need it most. With integrations like our Slack integration, you can drop reports and charts directly into communication channels.

  • Mode’s Scheduled runs functionality allows you to automate reports so that queries can call themselves—cutting down on your team's manual tasks.

Powerful and customizable visualizations

The more visualization types you have to explore a dataset with, the more context you can get about a question. Great visualizations help you see trends clearly and give you a deeper understanding of what's happening.

Data security measures

Whether you’re sharing data with different teams, managing exceptionally sensitive data, or getting ready to go through stage 2 compliance, data security is always top of mind. Mode helps you secure your data both internally and externally.

  • Mode helps ensure that data is secure both in your company and within our platform with industry-level security.

  • For department-sensitive data, Mode allows you to set permissions and control privacy settings on individual reports so that you can share data within your team without jeopardizing sensitive information. You can establish data governance, or business logic and data management practices, in Mode’s platform. Enhanced with our dbt integration, you can make sure data is reliable and consistent. 

Grow with Mode

As your company grows, so do the data demands. The right analytics tool can help data teams build and nurture a data-driven culture, create stronger alignment between teams with data-driven decisions, and help businesses make better decisions, faster.

If you want to learn more about how Mode can help scale your analytics initiatives, schedule a call with us or read how some of our customers have scaled their data impact with Mode!

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