Business intelligence tools

7 Business Intelligence Tools to Manage Your Marketing Data Requirements

Business intelligence has become synonymous with entrepreneurial marketing. We live in a world where conventional marketing and gaining market traction are long dead and buried.

The adoption of business Intelligence has opened up revolutionary vistas for enterprises to operate on market data. As of 2020, the adoption rate for business intelligence tools was at 26%.

In the software industry, every business is projected to expand from $23.1 billion to a staggering $33.3 billion by 2025.

What’s difficult to understand is how the market is growing exponentially, despite the complications of the pandemic and its related issues. To get to the bottom of that, you first need to understand what business intelligence is, and what it can do for your business.

What is Business Intelligence?

Business intelligence tools

Business intelligence refers to data-driven, intelligent decisions that an enterprise makes for technical, marketing, operations, and even customer related reforms. 

BI provides a corporate entity with a data reference and framework on which they can standardize their business processes and operations.

Business intelligence bears numerous advantages for your company:

  • You can reap extensive returns on investment by using different marketing channels
  • Effectively outperform the immediate competition
  • Inculcate a culture of data-driven decision-making across multiple laterals
  • Gain better vantage on actionable business data

Business intelligence offers you key data-driven insights about anything and everything under the sky. This is not limited to BI reporting tools only. A host of BI SaaS and PaaS offerings are available, which are dedicated to BI implementation, orchestration, and fine-tuning, among other business software aids.  

The data accumulated has to be mined, analyzed, and benchmarked. Business entities use the same data to move ahead of the curve and set new trends that become case studies for highlighting corporate success. 

However, for the sake of data integrity, you must always rely upon the right kind of tools to make an intelligent business transformation.

7 Business Intelligence Tools to Assist you with Your Marketing Data Requirements

Businesses are riding on the crest of technological innovation, with business intelligence as their primary agenda. Business intelligence tools have become a driving pillar in business ops across domains. This is primarily due to heavy influences of different departments and their corresponding decision-making.

A whole new industry of business intelligence tools has spawned over the industry to help people make the right decisions. To further understand some suitable approaches and the impact of BI tools on the data industry, you need to understand which tools are right for you.

So, which business intelligence reporting tools bear the flag of the entrepreneurial zeitgeist? Here’s a list of tools you need to know about.

1. Kloudio

Kloudio business intelligence tools

Kloudio is an established organization, which provides cloud-based SaaS/PaaS services that seek to innovate self-serviced Business Intelligence aggregation. Mastering tabulated data is the tip of the iceberg with Kloudio, given its ease of accessibility.

Kloudio’s wide range of data-centric functions enables a true-blue, self-service user experience. Kloudio simplifies the end-to-end data-driven BI processes with fast-tracked aggregation, analytics, and action. 

The organization fares exceptionally well against other BI tools in comparison by unifying data-driven marketing.

The platform has a veritable array of tools that are leveraged to draw data from a heterogeneous selection of sources, e.g., applications, APIs, databases, etc. One can even obtain data from Facebook ads for social media organic reach metrics.

Some additional features include the likes of:

  1. Schedule quintessential reporting to ease the use of regular reports
  2. Run SQL queries in Google Sheets
  3. Establish and run no-code programs to drive data integrations
  4. Create automated reporting for extensive reporting purposes

2. Looker

Looker business intelligence tools

Looker as a BI tool, has sparked a lot of interest among businesses, marketers, and data analysts for its unilateral marketing data

Looker is specifically potent when you have to deal with with omnichannel marketing and CRM processes, such as multi-data set customer profiling, KPI tracking, and even A/B campaign testing. It also helps set up a notification system where data mismatch alerts notify you about campaign performance short gaps.

As a business intelligence tool, Looker’s specialty lies within its in-depth, and organic tracking of customer engagement origins, to allow businesses to replicate successful conversion paths, contents, and critical demographic engagement.

Numerous businesses across industries have implemented Looker for a data-driven transformation of their operations. There is a lot to credit this platform with, besides the features mentioned above.

3. Tableau

Tableau business intelligence tools

Tableau is another BI services platform that offers mission-critical data analytics administration, implementation, and guidance solutions. 

The self-proclaimed integrated platform approaches data-driven marketing with a focus on visualization. It presents us with an impressive toolchain that also helps consolidate omnichannel marketing and corresponding data.

Tableau is known for its adoption among business users; it is also used as a third-party data intelligence service vendor. The platform integrates well with many modern, cloud-driven CRMs, ERPs, and databases to simplify business marketing data convergence further. Its intuitive approach makes room for its popularity in a diverse list of industrial domains and respective laterals and verticals.

4. Microsoft Power BI

Microsoft Power business intelligence tools

Power BI needs little introduction, given its well-known stature. Microsoft’s platform is a flagship data intelligence and SaaS/PaaS tool continue to revolutionize the world of data visualization. 

Power BI also embodies the self-service approach towards analytics. It is fascinatingly scalable, which makes its toolchain a versatile addition to your BI arsenal. Power BI was one of the first to mainstream AI integration in BI tooling.

Power BI further leverages the cloud better than most of the modern BI tools in comparison. This helps bridge numerous data sources, services, tools, and third-party platforms for decentralized analytics operations. 

Thus, Power BI leads the pack in intelligent data inferences, rapid data-driven marketing solutions, and flexible implementation across other business processes for a data-centric overhaul.

5. Google Data Studio

Google Data Studio was introduced as a part of the Google Analytics 360 suite. Google’s Data Studio presents us with a pivotal mixture of business intelligence reporting tools. 

The suite is geared for comparative analytics and armed with role-based tooling for your business intelligence team. Data is at the heart of Data Studio, regardless of its use cases, as the platform curates solutions specific to large enterprises and small businesses.   

Google Data Studio is an indispensable PaaS tool that assists with establishing data-accurate marketing campaigns, manage market networking communications, collaborate, and publish business marketing content. 

The Data Studio experience is all about report aggregation, leads tracking and follow-ups, Big Data correlations, et al.

6. Zoho Analytics

Zoho business intelligence tools

Zoho Analytics is a PaaS tool offering BI tools which focus on customer experience innovation, with data serving as its foundation. Zoho helps assimilate data from multiple sources

Its visualization capabilities are further enhanced by its assortment of tables, widgets, and graphical stat features. Zoho simplifies tasks that require programming knowledge with a no-code model to help achieve the best out of complicated tasks.

Zoho Analytics is rigged to give businesses an all-encompassing control over data analytics operations. Zoho’s custom dashboard creation and AI-powered data analytics functions go a long way in terms of consumer profiling and market prediction with data.

With Zoho Analytics, businesses can identify data-espoused patterns in their domain that help them launch more impactful campaigns. Zoho further optimizes documentation and reporting tasks, collaboration, and other team-based, BI-centric activities.

7. Freshworks CRM

Freshworks business intelligence tools

Formerly known as Freshsales, Freshworks CRM is an AI-powered, data-driven marketing analytics PaaS. It gives businesses a holistic understanding of customer intent, journey, and sentiments, with a performant repertoire of business intelligence reporting tools.

This helps businesses boost their conversion efficiency by orchestrating a streamlined service. The automation capabilities granted by the platform further help reduce complexity in sophisticated data analytics tasks.

Although the platform offers some novel packaged solutions for business intelligence, unlike Kloudio or Google Data Studio, Freshworks is not as refined in its workflows; it has considerable room for improvement. However, what the platform lacks in refinement, it makes up for by resonating with Zoho’s low code/no-code approach.

Conclusion

The incorporation of business intelligence tools helps businesses live up to their SLAs and quickly mobilize market trends. As a business scales, so does its budget, so many companies use more than one of these tools in tandem. However, the generation of intelligence in business can start small. 

To get an idea on how you too can incorporate a data driven approach within your organization, you should read Kloudio’s latest marketing report

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