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Blog › Make Data Work for You: 5 Must-Have Features in your Data Analytics
Platform
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MAKE DATA WORK FOR YOU: 5 MUST-HAVE FEATURES IN YOUR DATA ANALYTICS PLATFORM

Sherry Quach


In the ever-evolving data landscape, leveraging the power of data analytics has
become imperative for businesses of all sizes. A strong and efficient  data
analytics platform is no longer a luxury but a necessity, enabling organizations
to make data-driven decisions, predict market trends, and customize their
strategies to make the maximum impact. As the volume of data generated by
businesses continues to skyrocket, the need for efficient, intuitive, and
comprehensive analytics tools has never been more critical.

Choosing the right data analytics platform can be an intimidating task, given
the number of options available. However, certain key features stand out that
can significantly upgrade your organization’s ability to analyze data
effectively. In this blog we look at the top 5 essential features that your data
analytics platform should have in the current time.  Each of these features
plays a pivotal role in transforming raw data into actionable insights,
streamlining operations, and ensuring that your business remains agile and
informed in a competitive marketplace.

 1. Embedded Analytics  

Embedded analytics refers to the integration of analytical capabilities within
the business applications or operational processes that you already use. This
integration facilitates real-time data analysis within the native environment of
the application in use, eliminating the need to toggle between different systems
or platforms. 

Embedded analytics is crucial for democratizing data access and steering the
adoption of data analytics across teams. It helps give your teams access to
powerful BI tools within the applications they use every day. Embedded Analytics
can also reduce the time taken to extract value from data by allowing teams to
work together.  

Fig 1: Knowi Dashboard embedded in an App

 2. Self-Serve Analytics

To be a data-driven organization, your team needs open access to analytics. Your
data scientists, data engineers, and non-technical decision makers all need to
be able to ask questions and get back real data-driven answers. Historically, it
has been difficult for non-technical users to get even basic analytics
information about how their company is doing. Company decision makers often
don’t have time to learn a complex business intelligence tool. That’s where
natural language processing (NLP) comes in and makes a huge difference.

Natural Language Processing (NLP) is the technology that enables software to
comprehend human language as it is spoken and deliver intelligent responses.
Within the realm of self-service analytics, NLP interprets plain language
inquiries, contextualizes them within your business data, and generates a
calculated response. 

Imagine asking, “How many days have trial sign-ups exceeded 200?” or “Show me
the total spent on marketing quarterly.” In response, you would receive a
calculated answer and/or a visualization derived from your business data. 

With NLP-based querying, top level decision makers, subject matter experts
(SMEs) and anyone else who needs can run analytics queries. Self-service
business intelligence combines AI analytics and NLP to remove the barriers to
accessing analytics which significantly increases the potential of your data.

Fig 2: Knowi dashboard enabling users to ask questions in their dashboards


Furthermore, integrating this feature into widely-used collaboration tools like
Slack and Microsoft Teams, as well as the ability to embed it within custom
applications, ensures that organizations can maintain their agility and
responsiveness. This allows for rapid, informed decision-making based on
real-time data insights, an invaluable asset in today’s fast paced ecosystem.

Fig 3: Knowi embedded in Slack to help you get answers to your data questions in
Slack

 3. Instant Insights 

Getting a BI tool that can be your partner on the journey of finding actionable
data insights for business growth can be transformational for your business.
Search for tools which help automatically generate narratives on your data or
assist in crafting explanations that accurately convey the meaning and
implications of the data insights, making it easier for you to understand and
act upon the information. This kind of feature helps unravel key findings,
trends, correlations, or patterns that otherwise would have to be manually
done.   

Fig 4: Knowi’s InstanstSights features that generates insights on your data

 4. Integration with any datasource

Today, data often resides in various sources and is distributed across different
departments. Existing tools provide data which is typically isolated, allowing
only for separate analysis. This approach of analyzing data in silos, without
integrating it with information from other sources, tools, or departments, can
lead to significant challenges. Operating within these data silos fails to
present a complete overview, which can result in decisions made on incomplete
knowledge. 

Data integration is a vital strategy for IT decision-makers looking to enhance
their organization’s operational efficiency and decision-making capabilities. It
addresses the issues of data silos and fragmentation, which can impede growth
and productivity. By achieving a unified view of data, organizations can
automate processes, streamline operations,make informed decisions, and drive
business success thus maintaining a competitive edge in today’s faced paced
environment.

However, integrating data across the organization presents challenges. Seamless
data source connectivity, data security, governance, and compliance are some of
the common hurdles.

Fig 5: Knowi allows you to integrate with SQL, NoSQL, Rest API, Cloud Services
and Elasticsearch Datasources

 5. Alerts and Scheduling

Integrating automatic reports and alerts scheduling into your analytics strategy
not only streamlines your operations but also enables prompt and data-driven
decision-making, allowing you to respond dynamically to the changing market
landscape.

This feature allows users to configure and automate the distribution of tailored
reports, ensuring you receive up-to-date insights on a regular, predetermined
schedule. By setting up specific triggers or conditions, users can receive
real-time notifications about significant events or anomalies, such as
unexpected dips in sales or critical inventory shortages.

Whether it’s a daily sales report, a weekly campaign report, or a monthly
performance overview, scheduled reporting ensures that you have the pulse of the
business at their fingertips. These proactive alerts enable swift action,
preventing minor issues from escalating into major setbacks.

Fig 6: Knowi scheduled reports delivered in Slack


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About the Author:

SHERRY QUACH

Sherry is a Data Analyst at Knowi having previously worked at the California
Emerging Infections Program analyzing public health infectious disease data.
Sherry is skilled in data visualizations, SQL, data analysis, and business
intelligence. Sherry holds a BS, Molecular and Cellular Biology from University
of California, Berkeley and has contributed to research papers including
Characteristics and Maternal and Birth Outcomes of Hospitalized Pregnant Women
with Laboratory-Confirmed COVID-19 — COVID-NET, 13 States and
COVID-19–Associated Hospitalizations Among Health Care Personnel — COVID-NET, 13
States.
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