Project Description

Our BI services help organizations optimize their capabilities to leverage various types of data and make it into something the business can use to make better and more informed choices. We work closely with clients to assess their goals and challenges to ensure we deliver the most appropriate solution to meet their needs and provide a competitive advantage.

From data warehousing and analysis to reporting and visualization, our BI consultants can manage and deliver your engagement. Effective business intelligence services can provide companies with analysis and reporting to support all aspects of your business.

Our Services & Solutions

Data Warehousing using BI and Analytics Platforms

Custom web applications can be very specialized and cater to a particular business need. Although it is an ideal solution, it can be very costly and time-consuming.

For many customers a BI solution means creating a cloud based data warehouse with use of established analytics platforms. (Tableau, Qlik, Sisense…)

  • Cloud Based Data Storage
    Cloud based storage. We create and synchronize a data warehouse.

  • Cost Effective
    Licensing based on users and requests.

  • Established Platforms
    Using platforms used by thousands of businesses.

See Gartner Magic Quadrant for available platforms. This service includes creating and building data warehouse (design, implement, create data flows) and building visualization using selected supported platform.

Custom Made BI

Specialized BI web application developed for supply chain management vertical. Cloud based unlimited data storage (processing millions of transaction a day, hundreds of customers, terabytes of data)

  • Unlimited Data Storage
    Cloud based unlimited storage included.
    NoSQL big-data database

  • Widgets and Reports Builders
    Integrated tools to build host database queries, requests and to build customized widgets and charts.

  • Speed and Reliability
    Using leading edge technologies (mongodb, nodejs, GCE, auto-scaling).

We can build for you a custom BI solution, train your personnel and hand it over.  Engage HeadSoft services department to have the widgets and dashboards created for the you.

  • BI Implementation & Integration

  • BI Consulting & Strategy
  • Business Performance Analysis

  • Agile consulting and implementation methodology

  • Collaborative, client-focused approach

  • Competitive rates for BI consultants developers and architects

  • Experts at Hadoop and MongoDB
  • In-house, front-end specialists including: Business Analysts, UX/UI Experts, Creative Designers

  • Proven track record of successful project delivery

  • Rapid, cost-effective services for business intelligence consulting

  • Thorough quality assurance testing before “Go Live” events

HeadSoft business intelligence consulting services can help your company optimize your business intelligence systems. From data warehousing and analysis to reporting and visualization, our BI consultants can manage and deliver your engagement.

Effective business intelligence services can provide companies with analysis and reporting to support the following aspects of your business:

  • Trend analysis and sales forecasting
  • Business performance analysis
  • Budgeting and planning
  • KPIs and balanced scorecards to help manage operations
  • Timely, even real-time, analysis and reporting that is secure
  • Gain a better understanding of customers and clients (loyalty, buying habits, relationships, etc.)
  • Financial, operational, sales and marketing process improvement and optimization
  • Financial reporting and consolidations
  • Market research and brand analysis
  • Sales strategy and initiative monitoring
  • Cost and spend analysis

Whether looking to do a complete business intelligence implementation or BI consulting assistance with such open source technologies as Redshift, DynamoDB and MongoDB, HeadSoft has the skills-sets and experience to make sure your business intelligence initiative will move in the right direction.

HeadSoft provides several ways to implement an open source business intelligence solution in your organization. Our BI implementation experts are very knowledgeable and able to leverage their vast open source technology implementation expertise to deliver a system that can meet your business and decision making needs.

Competitive Rates & Project Quotes

Shopping quotes for your next business intelligence consulting project? Get a quote from us! Offering competitive rates for experienced, expert business intelligence professionals.

Transparent, Collaborative, & Communicative

Using agile methodology, always keeping you in the loop. Streamlined delivery, cost effective projects, designed to match your goals, timeline and budget.

Expert BI Consultants

From end to end solutions to individual aspects of business intelligence, our expert BI consultants can come up with the solution to meet your organization’s needs.

Customer Satisfaction

The difference between customer service and superior customer service is the ability to anticipate customer needs. Being proactive, flexible and truly understanding our customers’ reality enables us to provide this level of service at all times.

In the past, business intelligence (BI) was a privilege of large enterprises who could afford to maintain teams of IT specialists and data scientists.

But in the last decade, along with the software as a service (SaaS) revolution, software has become not only more lightweight and powerful but also more accessible. It’s a booming industry – the global revenue in the BI and analytics market is forecast to reach $16.9 billion in 2016. This is a clear sign that more and more companies are transitioning to modern BI platforms to gain an insight into the business.

The business intelligence and analytics platform market’s shift from IT-led reporting to modern business-led analytics is now mainstream. Data and analytics leaders face countless choices: from traditional BI vendors that have closed feature gaps and innovated, to disrupters continuing to execute.

WHAT IS BI?

Business intelligence (BI) is a set of techniques or tools for the acquisition and transformation of raw data into insightful information for business analysis purposes. BI technologies provide historical, current and predictive views of business operations. The common functions of BI technologies are reporting, analytics, data mining, business performance management, benchmarking, predictive analytics and prescriptive analytics.

Strategic Planning Assumptions

Visual-based data discovery, a defining feature of the modern business intelligence (BI) platform, began in around 2004 and has since transformed the market and new buying trends away from IT-centric system of record (SOR) reporting to business-centric agile analytics. Modern BI and analytics platforms are characterized by easy-to-use tools that support a full range of analytic workflow capabilities and do not require significant involvement from IT in order to predefine data models upfront as a prerequisite to analysis (including at enterprise-scale deployment).

  • By 2020, smart, governed, Hadoop/Spark-, search- and visual-based data discovery capabilities will converge into a single set of next-generation data discovery capabilities as components of modern BI and analytics platforms.

  • By 2021, the number of users of modern BI and analytics platforms that are differentiated by smart data discovery capabilities will grow at twice the rate of those that are not, and will deliver twice the business value.

  • By 2020, natural-language generation and artificial intelligence will be a standard feature of 90% of modern BI platforms.

  • By 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be autogenerated.

  • By 2020, organizations that offer users access to a curated catalog of internal and external data will realize twice the business value from analytics investments than those that do not.

  • Through 2020, the number of citizen data scientists will grow five times faster than the number of data scientists.