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6 Software Intelligence Platforms that Analyze Your Software Ecosystem – ReadWrite



Michael Usiagwu

According to markets and markets, the global business intelligence market is predicted to expand from $23.1 billion in 2020 to $33.3 billion by 2025, with a 7.6% CAGR. Since the large volume of data is challenging businesses of every size these days, it’s not a simple task to ensure that business processes are under control.

How can businesses find a solution to the data issue?

Organizations and companies can ultimately provide a solution to the data issue by simply integrating modern and professional Business Intelligence tools into their businesses.  

By collecting, monitoring, analyzing, and predicting the future states of a company, these BI tools provide an unrestricted view of all data under a company’s management.

Business Intelligence Tools

This article will put you through everything that has to do with Business Intelligence tools and carefully described 6 software intelligence platforms that will effectively help you analyze your software ecosystem. 

Knowing What a BI Tool Entails

Business Intelligence tools can be simplified as any kind of software that organizations and companies can use to gather, process, analyze and visualize large volumes of data. Businesses can also use it to generate actionable business insights, simplifying the decision-making processes, and creating an interactive report.

Amazing common features such as visual analytics, data visualization, KPI scorecards, etc., are somehow included in these tools. 

The Importance of Business Intelligence (BI) Tools

AI-based technology (professional software and tools) has been critical in accurate and timely dealing with huge chunks of data over the years. Some of these key benefits are listed below:

  • BI tools offer you non-stop access to your software since your data are stored in the cloud. 
  • Not only do they support faster planning, analysis, and reporting process, these tools also help in business cost reduction. 
  • These tools help in eliminating the manual means of business management. 
  • Whether you run a small company or a large enterprise, BI tools can efficiently help you manage all your data sources and also assist you in creating a better understanding of the collected information (when needed). 
  • BI tools’ true self-service analytics way of approaching things helps in unlocking data access. 

6  Software Intelligence Platforms Companies can use for Analyzing Software Ecosystem

These days, sticking to traditional means of data management doesn’t seem like a good idea anymore.

Many organizations and companies need to integrate AI-based technology into their businesses’ processes so that they can be assured of a systematic and accurate data analysis in a timely fashion — without stress.

The top software intelligence platforms discussed below are what you can always put your money on to get your software ecosystem analyzed:


Clearfind being one of the top software intelligence platforms, is branded for giving back users their time, money, and power. With the best team of analysts and strategists, Clearfind has achieved ways at which companies and organizations can trace overlaps in their businesses and save as much as 30 percent of their software budget.

In short, Clearfind is skilled in analyzing data irrespective of their sizes and periods of existence in a more efficient and precise manner. 

Features of Clearfind

  • Clearfind uses a dataset of over 50,000 software products—fueled by AI and based on a methodologically rigorous analysis system—to find the products with the actual features you need.
  • Often, finance teams feel (and are) uninformed about what is essential when it comes to software. Clearfind puts them back in the driver’s seat, providing clear and concrete data.
  • They provide clear and concrete data, which helps companies identify exactly what they already have and what they don’t need. 
  • Clearfind has a better way of finding and evaluating new software. 


Tableau is widely known for providing visual BI and analytic platforms that are expansive. The analytic software portfolio of this company can be viewed via its 3 key channels (Tableau Desktop, Tableau Server, and Tableau Online). They have connections with a huge chunk of data sources, offer embedded analytics capabilities, and allow users to visualize and share data through the help of the Tableau public. 

Features of Tableau

  • Tableau Online is hosted in the cloud so that companies won’t have to manage software upgrades, scale hardware capacity or configure servers.
  • They use Tableau Server in providing well-documented self-service analytics that permits the central management of security rules and metadata. 

Visual data discovery is provided by Tableau Desktop and gets connected to an SQL database, big data, or cloud applications just like Salesforce and Google Analytics.

To sum up, Looker provides a BI and data analytics platform developed on the company’s proprietary modeling language called LookML. They can connect to any relational database and auto-generate data models for distinct schemas.

Features of Looker

  • Looker Blocks: it’s a pre-built piece of code that your company can quickly use in accelerating analytics projects.
  • Data modeling: you can use LookML to define data models and reference them in other locations. 
  • Embedded analytics: companies can simply use it in defining data and give access to whoever they want.


Sisense has BI software that makes it very easy for organizations and companies to display business insight from complex data irrespective of the size or source. You can use it to combine data and uncover insights in an interface without the need to script, code, or need any help. 

Features of Sisense

  • You won’t need to involve IT or supplemental technology to prepare, manage and secure data.
  • They can turn users into an analytic expert with advanced capabilities, instant response time, and smart shortcuts.
  • Sisense speeds up data connection.

Qlik Sense

Qlik sense has a platform that provides a broad spectrum of BI and analytics tools. This platform is available on-prem (Qlik Sense Enterprise) or in the cloud (Qlik Sense Cloud).

Features of Qlik Sense

  • It’s a platform that allows you to develop, extend, and embed visual analytics in existing applications and portals.
  • Qlik sense has a tool (QlikView) that gives organizations and companies the access to create business-driven data discoveries with guided analysis paths that are customizable and tightly governed.
  • They have an in-memory engine that allows a user to combine the whole library of data of an organization or company.


They built Domo to offer access to data without having to involve IT. They help monitor sales and inventories in real-time and integrate well with Google Analytics, Salesforce, Instagram, Box, just to mention a few. 

Features of Domo

  • Domo’s platform is highly flexible and very easy to customize.
  • Thanks to Domo, you don’t need to be skilled in SQL before you can clean data, combine datasets, and transform and prepare data
  • It aids effective communications among users.


Business intelligence tools are what you can always rely on for gathering, processing, analyzing, and visualizing very large data anytime you wish to generate business insight or create an interactive report.

Of all the above-explained software intelligence platforms for carrying out business analysis, Clearfind is the most trusted among them because of its distinct and uncommon features. 

Michael Usiagwu

Michael Usiagwu is the CEO of Visible links Pro, a premium  Digital Marketing Agency committed to seeing your brands/company and products gain the right visibility on the search engine. He can be reached via


Fintech Kennek raises $12.5M seed round to digitize lending



Google eyed for $2 billion Anthropic deal after major Amazon play

London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Fortune 500’s race for generative AI breakthroughs



Deanna Ritchie

As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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UK seizes web3 opportunity simplifying crypto regulations



Deanna Ritchie

As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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