Unparalleled business intelligence consulting services

Reveal meaningful business data insights with business intelligence (BI) tools
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Leverage scalable BI consulting solutions

Business intelligence allows you to extract the full value from data and paves the way for data science. By using BI tools, you increase business understanding and strengthen your control, by acting on facts and proof rather than instinct.

Expose data insights and gain a competitive advantage

Streamline your business decisions with the harnessed potential of data.

  • Better decision making. Leverage data insights to make more accurate choices
  • Reduced costs and increased revenue. Monitor your business and act in advance, avoiding costs related to lost opportunities
  • Increased operational efficiency. Set up dashboards, reports and alerts, and adjust with speed as business needs evolve
  • Improved accessibility of information. Extract meaningful info from data and present it to the relevant users in a timely manner

Forecasting and Visualizing Complex Data with Machine Learning

Forging a forecasting prototype using real energy consumption data. NeedEnergy wanted to visually present their data-based solutions for energy optimization. The goal for Netguru experts was to create advanced visualizations for the energy management system and an interactive demo of an energy consumption forecasting model built with machine learning that uses real, historical data.
Read Case Study
CS NeedEnergy graphic for landing pages (1)
  • Netguru has been our biggest and leading investor into our product development. The partnership allows us to build the best in class product, while in the process both teams are contributing to the impactful cause of increasing clean energy access in sub-Saharan Africa and remote regions in the world.
    Leroy NeedEnergy

    Leroy T. Nyangani

    Co-Founder and Team Lead at NeedEnergy

BI software serves custom business needs

Utilize complex modeling and analytics to generate valuable insights

  • Business intelligence services. Capture business needs with BI consulting services and turn them in actionable dashboards
  • Data modeling and transformation. Prepare your data to ensure the consistency and quality that’s essential for BI and analytics
  • Embedded analytics. Combine BI technologies with web design for integrated and accessible analytics
  • Complementary data science services. Extend BI services to include data science solutions like diagnostic and predictive analytics

Business intelligence consulting: data analytic phases

The data analytic phases include design, prepare, process, analyze, build, share, and act phases. Each step involves a different business intelligence process, whereby the end result solves your initial problem.
  1. Design: define the problem and expectations. Ask questions, use structured thinking, and communicate with stakeholders
  2. Prepare: collect and pre-process the data. Understand how the data is gathered, then clean and transform it
  3. Analyze: use data analytics to draw conclusions. Use tools and statistics to understand the data and identify patterns
  4. Build: create dashboards for end-users. Develop interactive and customizable interfaces including KPIs and visualizations
  5. Share: communicate results for validation. Use data storytelling and visualizations to help stakeholders understand the results
  6. Act: help businesses apply the data insights. Make data-driven decisions to solve your original problems and improve processes

What is business intelligence?

BI is all about revealing the most important parts of data from a business perspective. It’s often the first step towards data science and broader data utilization. Similarly, it’s often the primary stage of building data-driven organizations and/or products.

Business intelligence technologies include business analytics, data analytics, data mining, data visualization, data tools and infrastructure, as well as data relevant best practices. Business intelligence services help you make data-driven decisions by giving a broad view of your company’s data.

A business intelligence strategy uses data to drive change within an organization. A modern BI strategy prioritizes:
  • flexible self-service analysis
  • governed data on trusted platforms
  • empowered business users
  • speed to insight

Business intelligence systems and business intelligence analytics collect data, store and analyze it, and turn it into actionable insights.

These insights provide users with detailed intelligence about the state of a business and help inform tactical decisions. Employees and stakeholders can access the data via user-friendly business intelligence dashboards, reports, and charts

What are the services of business intelligence?

In general, it involves custom BI implementation consisting of design, development, and deployment of BI dashboards. From a more technical perspective, the services include:

  • Data preparation. Collect and store unbiased data for analysis
  • Data mining. Uncover trends using databases, statistics, and machine learning
  • Descriptive and statistical analysis. Undergo preliminary data analysis to discover out what happened; take those results and explore further using statistics
  • Business intelligence data visualization. Transform your analysis into easy-to-understand visual representations like charts, graphs, and histograms
  • Business intelligence reporting. Share your data analysis with stakeholders, enabling them to make decisions
  • Monitoring and alerting. Receive critical business information via notifications

Technical BI consulting services like those offered by Netguru are useful. We help clients gain a better understanding of their needs and our business intelligence expertise enables us to recommend optimal solutions.

The role of business intelligence consultants is to provide a self-serve analytics platform that uncovers hidden data insights according to users’ specific requirements. From a product perspective, the role of BI is to supply embedded analytics, so that end-users can experience data-driven analytics.

What is the role of business intelligence?

Business intelligence solutions are data-driven decision support systems (DSS).

By using business intelligence tools, you’re able to analyze data yourself instead of relying on IT. The data insights you have access to help you back up decisions with facts and proof rather than gut feelings and judgment.

The output you receive using BI solutions is easy to understand and navigate and based on hard numbers. It helps answer questions like why sales are dropping and what customers are commenting on social media.

By offering past and current insights, BI builds an accurate picture of your business and helps you create an effective business strategy. As a result, business performance and revenue improve, you gain a competitive advantage, and reach (or surpass) your business goals. Other benefits include:

  • Better ROI, visibility, and transparency
  • Achieving a superior understanding of customer behavior
  • A means to monitor operations and make ongoing improvements
  • Enhanced process execution management

What are business intelligence tools?

There are many BI tools on the market that are already proven and built to serve custom business needs – below are just several of them. It’s always worth considering available options before making a decision on which one to choose for your use cases. Contact us if you’d like to find out more.

Commercial business intelligence software

Tableau. One of the market leaders, Tableau offers an advanced product with a visual-based data exploration experience. It’s highly intuitive, providing progressive and specialized functionalities.

It’s common to hear business analysts and BI specialists say they enjoy working with Tableau, and its free public version has many enthusiasts. There’s also a SaaS option fully hosted by Tableau or on-premise.

Microsoft Power BI. This is another market leader and often considered a default option for Microsoft customers due to tight alignment with Office 365 and Azure.

It offers a variety of built-in functionalities that help create BI solutions adjusted to specific business needs. It’s available as a SaaS in Azure cloud or on-premise.

Qlik. This option is also considered a leader, with strong augmented analytics capabilities. Besides standard visual data exploration, it offers context-aware suggestions for insights and self-service data discovery for business users. Qlik Sense is available as a client manager or a SaaS solution.

Looker. Acquired by Google in 2020, Looker is tightly integrated with Google Cloud Platform (GCP). It offers modern BI functionalities and in-database architecture optimized for various cloud databases.

Its centralized and agile data modeling layer allows you to analyze the data where it lives, without repetitive data extraction tasks. It can be hosted on GCP, AWS private cloud, and on-premise as well.

Sisense. This choice offers an end-to-end analytics platform with functionalities enabling both business users and expert analysts. One of its core capabilities is advanced embedding, allowing you to improve data-driven customer experience in your products.

Sisense Cloud is a SaaS solution, but the tool is also available in a private cloud and on-premise.

AWS QuickSight. This one is relatively new compared to other tools, but it's gaining major adoption due to its tight integration with AWS cloud. Its a fully managed, cloud based service which scales automatically without any server setup or management. Pay-per-session pricing model gives a lot of flexibility and helps with scaling-up your analytics in most cost-efficient way.

Open-source BI software

Metabase. This open-source business intelligence tool has functionalities that are simpler compared with commercial products.

However, its paid option provides enterprise support and should be sufficient for standard use cases. Metabase provides a visual query builder for self-service analytics and is available as fully-managed SaaS or on-premise.

Apache Superset. This open-source option is cloud-native BI software that provides powerful and intuitive data exploration and visualization functionalities. It’s based on modern architecture and is fast – able to handle data at petabyte scale.

What are the five key phases of business intelligence?

1. Data sourcing. Extracting info from multiple data sources – databases, third-party system APIs, and sometimes flat files. The key is to integrate with data sources that are most likely to contain business-relevant information.

2. Data analysis. This is about gathering useful knowledge from the data such as estimating trends, summarizing info, validating models, and predicting missing information and future trends.

3. Situation awareness. Here, it’s all about filtering out irrelevant info and presenting the remainder in the right way For example, to make a decision, users need relevant info in the context of their business.

4. Risk assessment. This involves uncovering plausible potential actions and weighing up the current and future risks, costs, and benefits of choosing one decision over another.

5. Decision support. This stage involves warning you about important events like acquisitions and market changes, alongside helping you make better business decisions by presenting you with the info you need, when you need it.

Improving smart real estate with LoRa

Using IoT data management and analytics solutions, we were able to revolutionise the real estate industry. The real estate industry may seem to be one of the industries who could use IoT technology the least. However, Lora is a perfect example of why this is wrong.

With Lora, real time real estate data can be transmitted from properties across the country straight into the cloud.

This allows commercial real estate businesses to simplify property management and upkeep as well as maximise savings and increase property values, all using our integrated IoT technology to track sensors and devices.
Read Case Study
city center with skyscrapers

The Ultimate Personal Assistant Temi

With our expertise in AI and native app development, we supported system development for the personal home assistant Temi. Israeli company Roboteam teamed up with us to create a light-weight, personalised home assistant with all the modern tech a robot could ever need. This included facial recognition as well as voice ID and state of the art emotion detection system.

Building a robot from scratch takes a lot of hard work and expertise. However, with us on their side handling voice recognition, video loads and fast data processing, Roboteam were able to create a final product that surpassed every expectation.
Read Case Study

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    Hima Mandali

    CTO at Solarisbank
  • My experience working with Netguru has been excellent. Outstanding software teams are resilient, and our developers at Netguru have certainly proven to be that. Our Netguru friends have become as close to team members as possible, and I am grateful for the care and excellence they have provided.
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    Product Manager at Moonfare
  • Netguru is a great service provider. I like working with the team, it’s super professional, and they’re nice people to work with.
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    Asaf Davidi

    VP of Product, temi

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We are actively boosting our international footprint across various industries such as banking, healthcare, real estate, e-commerce, travel, and more. We deliver products to such brands as solarisBank, PAYBACK, DAMAC, Volkswagen, Babbel, Santander, Keller Williams, and Hive.
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Uncover data-driven BI solutions for your business

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BI business solutions

Everything you need to know about our approach to business intelligence

Not everyone is familiar with the ways that business intelligence can support companies, so here are some common FAQs.

What data do you need to implement a BI solution?

BI brings the most value and relevant insights if it’s used with data that closely reflects your business. Make sure the data required for comprehensive analysis is collected from various sources and made available to a BI consultant.

Another crucial aspect for successful BI is the quality and consistency of data. It’s possible to address and fix some issues during business intelligence data analysis, but special care should still be taken to provide true and correct data for BI analysis.

Which BI tool will work best for my use cases?

There are many options to choose from. The best business intelligence software depends on your requirements. Therefore, it’s always worth analyzing the pros and cons of each tool you’re considering.

The key factors are functionalities, ease of usage, pricing, data integrations, and deployment options. A business intelligence consulting company like Netguru can also guide you and partner with you to build custom BI solutions.

How does business intelligence connect with data science?

Business intelligence connects with data science through data – they both utilize data according to specific business needs. BI increases overall awareness and gives a deeper understanding of what’s available in the data, opening the path for true and meaningful data science use cases.