Inseyab Consulting & Information Solutions LLC

Enabling Data Driven Trade Decisions

Trade Foresight, a one-stop solution that opens the doors to making smart and effective trade strategies and decisions.

A comprehensive solution to all your needs for trade related information, Trade Foresight opens the doors to consolidated analysis of trade data from a variety of Data Sources and thus empowers Governments and Small Medium Enterprises (SMEs) with a complete horizon of econometrics with in-depth understanding of legal circumstances leading to better business and trade decision making.

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Our Work

A Revealing insights for Consumer and Corporate customers for Basic and VAS (Value Added Services) of the Telco, these stack of infographics pull information from relevant systems and provide Key Indicators around usage and consumption, payment collections and default, high value and normal customers, upsell potential and risk customers. Management can observe increase and decrease in number of users for each service and category, hence revealing insights into Churn, amongst other key insights.

Providing Key Performance Indicators for a holistic view for CEO and other Key C-Suite executives of Islamic FSIs, i.e. Equity, Assets, Deposits, Shareholder details, Profitability and the like, these dashboards distribute to three vital areas inside the institution - Commercial, Corporate and Consumer divisions. Data is pulled from relevant systems onto a Microsoft SQL Server based DW and insights are presented through MicroStrategy as the visualization tool.

Integrating several sources within airport operations, the application summarizes KPIs across multiple areas such as flight operations, revenue generated and property management. Backend was developed on MS SQL Server whereas the analytical layer was developed on MicroStrategy.

Extracting data from social media sources such as Facebook, Twitter, Instagram and Google+, comparative analysis (incl sentiment analysis) was conducted and presented on live dashboards. NLP based analysis was conducted using internal and external text analysis tools whereas MicroStrategy was utilized for visualization.

A pilot project for a KSA Group comprising of Tourism, Car Rental and other services. The analytical application depicted booking trends over a selected year, tour bookings for selected destination, types of vehicles rented, and the like. Backend was developed on MS SQL Server whereas the analytical layer was developed on MicroStrategy.

The system tracks the performance of hospitals and health care facililities. The objective was to connect all hospitals and health care facilities under the health authority and measure Kpis related to Outpatients services, Patient information, Treament Insights, Doctors and staff performance, Hospital overall performance and consolidated results. WIth MicroStrategy at the analytical layer, underlying systems included HMIS, Finance and HRMS. DW and ETL layer was built using Oracle.

Extracting information from Oracle EBS (ORACLE DB), as well as Sales/Contracts and Satellite Maintenance scattered systems (SQL), into a DW designed in MS SQL SERVER, these are elaborate MicroStrategy dashboards to be viewed by C-Suite executives of a Media Telco company. Service Analysis was made possible through Visual Insight. The project was done for ARABSAT and can be considered one of the largest BI implementation in the region.

Store performance was captured and analyzed using Microsoft and MicroStrategy. KPIs related to measure campaign effectiveness, in particular, were presented on intuitive dashboards. The analytical layer was utilized by Self Service BI users, using Visual Insight.

Extracted data from multiple data sources., utilizing SSIS, related to financial domain and built a data warehouse on MIcroSoft SQL Server. An analytical layer was developed on top of that and executive dashboards were created to report on most important KPIs. Self Service Analysis was made possible through Visual Insight. Tools utilized were SSIS, Microsoft SQL Server and MicroStrategy.

Focused on main KPIs around an educational institutions, this application utilizes SSIS for ETL into a MS SQL DW. Analytical layer developed atop, executive dashboards were built using MicroStrategy, for critical KPIs. Self Service Analytics was made possible through MicroStrategy Visual Insight.

Also an important part of our Educational application stack of dashboards is a summary infographic of students enrolled in foreign programs, in countries outside of the univeristy's central campus. This information is visually presented in the shape of a bubble chart, with the size of each bubble reflecting the number of students enrolled in the univeristy being represented by each bubble. Power BI was used at the BI layer level and SQL Server as a DW.

Part of our Educational application stack of dashboards, this infographic reveals the duration of each student's degree program(s). While filters are present for selecting student, program / degree and specialization, the left portion of this specific dashboard provides information summary reflective of the filter selections, whereas the right portion provides a curved line, duration infographic. Power BI was used at the BI layer level and SQL Server as a DW.

Encompassing major aspects for Real Estate Analytics, this analytical app demonstrates price variations for each type of property (by location) along with monitoring KPIs pertinent to real-estate investors and agents. It also incorporates tracking of progress for under construction projects and associated costs to keep the operations on schedule. The analytical layer was developed on MicroStrategy whereas the backend was developed on MS SQL Server.

The analytical application summarises consolidated financial overview of the group activities and performance; including Container Handling, Bulk Storage, Terminal & Marine Services. Executives can view financial performance of each business domain with five year trend of financial key performance indicators. Backend was developed on MS SQL Server whereas the analytical layer was developed on MicroStrategy.

An important function of the government is to its citizens with a National Identity and related documents upon birth, death, marriage, etcetera. Such documents result in provisions that a citizen subsequenly qualifies for. The application was developed using MicroStrategy, highlighting requests for such documents from citizens, their status, distributed amongst different regions of a country. The backend has been developed using Microsoft SQL Server.

Store performance was captured and analyzed using technologies Microsoft and MicroStrategy. KPIs related to measure effectiveness of campaigns and related measures where presented on intuitive dashboards. The analytical layer was utilized by Self Service BI users, using Visual Insight.

Illustrating demographics of a country's population, this application helps decision makers formulate appropriate public policies. This dashboard provide insights on religious composition of population, employment statistics with gender and age group distribution and focus on KPIs such as fine collected, accidents, literacy rate and infant mortality rate. The project was a proof of concept done for a government entity in Abu Dhabi and utilized Microsoft SQL Server for ETL and DW, MicroStrategy as analytical layer.

Revolving around data related to the heart of lending organizations, these infographics reveal fundings and repayments position of lendees - which industry and which customer has been lent what amount, since when, and related repayments. It also shows how available lending and defaulter info. KPIs such as loan default rate, loan distribution by location and industrial sector are summarized for executives. MS Datazen, Power BI and MS SQL Server were used.

This analytical application was built on top of Balanced Scorecard application deployed at Fertil. Capturing scattered information, this application presented information therein in the shape of intuite dashboards - an intelligent console that combines the four important strategic perspectives as defined by Dr. Kaplan and Dr. Norton. The app provides insights about perspectives and highlights scores of important KPIs, enabling efficient decision making process. Microsoft SQL Server and MicroStrategy were utilized.

Developed a proof of concept for KPK Governemnt (Pakistan) to provide them insights on performance related to budget, revenue and expenses across various sectors. In addition to this some insights were also drawn for the health care sector in terms of expenses and benefits to the citizens. Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.

Developed a proof of concept for Engro Foods to provide them insights of core business statistics, considering distribution channels, product(s) sales, and hierarchy of locations in addition to other areas. Mulitple dashboards were built using Power view over SharePoint 2013 and MS SQL Server.

Developed a proof of concept for K-Electric, Pakistan, providing insights of various service vs cost statistics, in addition to other areas. Mulitple dashboards were built using Power view over SharePoint 2013 and MS SQL Server.

Developed a proof of concept for Soneri Bank to provide them insights of core business statistics, considering Various business majors such as loans transactions etc., and hierarchy locations of branches and regions in addition to other areas number of dashboards were build, Power view over SharePoint 2013 and MS SQL Server were used in terms of technology.

A pilot project reporting and analytics solution was developed, pulling data from project management systems and financial applications. Oracle for DW and MicroStrategy for analytical layer were utilized. Users were trained on MicroStrategy's Visual Insights feature for self service analytics.

Viewership statistics are most important for broadcasters as they form the basis for advertisement and sponsors. This analytical app represents insights for sports channel broadcasting range of events across geographies, revelaing info about subscribers, live fixtures, revenue and cost comparison along with churn rate and regional information. Additionally, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.

"Adequate housing provision for its citizen is a priority for its government. This analytics application was developed for ADHA, designed for applicants and case details and status. It catered to the need to make optimal decisions in terms of granting loans, houses, grants or land to the applicants. Data in this application was fetched from ADHA's Core Business Application (SSIS ETL) into MS SQL Server DW. Analytical layer was developed on MicroStrategy.

Vehicles equipped with sophisticated sensors provide valuable data for driver evaluation and repeated errors. This analytical application is designed for monitoring safety of large fleet of vehicles. Key insights reveal driver performance and occurrence of offenses and accidents. Additionally, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.

This analytical application is powered by Microstrategy with insights covering city muncipal functions. Performance indicators such as Revenue Collection from transportation & public facilities, public complaints and requests including business licenses are covered. Executives having such insights at their disposal can make quick decisions and proactive measures to increase efficiency.

Developed a proof of concept for Ministry of Health to provide them insights pertaining to Patient statistics, Patient Satisfaction, Attendance and Actuity Statistics, in addition to other areas. High level dashboards weredeveloped for executives. In addition to this, self service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were used in terms of technology.

A proof of concept developed for defense customer in Malaysia, data was pulled from recruits and training source systems. The application also tracks progress and placement KPIs for each recruit. The solution was built using Microsoft as the integration and data warehouse layer and analytical layer, MicroStrategy.

Helping government executives gain insights into Hajj applicants, this application extracted scattered data related to applicants, hajj statistics, haji satisfaction, financial and other areas into an MS SQL Server DW, reporting on most important KPIs. Self Service Analysis was made possible through Visual Insights. Tools utilized were SSIS, Microsoft SQL Server and MicroStrategy.

This analytical application was developed as a proof of concept for an Insurance company and provides insights around KPIs relevant to the insurance industry such as premium, yearly targets, yearly disbursements, business acquired and profit and loss across various client categories. In addition to this various ratios, such as claim ratio, commission ratio etc, were calculated using near time data. Analytical layer was developed using MicroStrategy whereas ETL/Data warehouse developed on Oracle.

In order to track the effectiveness and performance of judiciary system, a performance tracking application was developed. The analytical application extracted data from case management system, HR, finance and other applications. DW was developed using Microsoft SQL Server and analytical layer was developed using MicroStrategy. Few users with analytical capabilities utilized Visual Insight for Self Service analytics.

In order for UAE Armed Forces to track the effectiveness and performance of judiciary system, this analytical application extracted data from case management system, HR, financial and other applications. Microsoft SQL Server DW and MicroStrategy formed the core building blocks. Few users with analytical capabilities utilized Visual Insight for self service analytics.

Built to preemptively control Project Management communication, this application analyzes email commication text and can track/analyze sender sentiments. Another important use case for this application is to better customer service, analyzing inward communication. Once data is fetched, NLP base analysis is conducted using internal/external text analysis tools, whereas MicroStrategy is used for visualization.

Effective policing is an essential element of modern states. This analytical application is designed for policing authorities with a specific focus of fines assigned and collected against minor crimes and offences. In addition to this, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.

National service is a system of compulsory / voluntary government / military service of youth. The national service dashboard caters to four main aspects of the program; deployment of passing out conscripts, insights for executives, progress of conscripts, nomination of employers amongst their workforce - highlighting life cycle of an applicant, scores, pass out appointments and contributing corporations. Merging three data sources with eight geographically dispersed locations, data was pulled into Microsoft SQL Server and analytical layer was built using MicroStrategy.

A series of well-crafted trainings can significantly improve behavior and efficiency of immigration staff. This analytical application is made for training activities of government departments handling immigration. Visualizations present critical KPIs helping executives in effective decision making. Moreover, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.

The planning commission analytical application summaries the progress of various projects under different portfolios, along with critical project attributes like schedule index, cost index, and risk factor. Highlighting key consumption and allocation of budget for different development projects makes it a must have analytical application for decision makers. MS Datazen, Power BI and MS SQL Server were used.

The planning commission analytical application summaries the progress of various projects under different portfolios, along with most important attributes of projects like schedule index, cost index, and risk factor. Highlighting key consumption and allocation of budget for different development project makes it a must have analytical application for decision makers. MS Datazen, Power BI and MS SQL Server were used.

Our social media analytics provides conclusive reports based on sentiment analysis done on entities in focus. It portrays a graphical view of both positive as well as negative sentiments of a brand over a period of time. Using these results, concrete and informative presentations can be made along with comparative analysis of more than one entities against each other.

Our analytics provides a means to gauge and analyze the social buzz and conversations over a particular time interval for a particular brand in focus. It gives positive, negative neutral peaks which result from sentiment spikes over a particular occurrence with respect to the brand. Using this analysis media, we can perform social listening of the brand and track posts and mentions that generate considerable amount of potential impressions.

Our analysis media offers such extraction methods that display and bring forth all brands associated with a particular brand in focus. Along with this, all considerable mentions as well as hastags on twitter connected with the brand can be seen. In addition to this, emotions and behaviors relevant to the brand in focus can also be viewed.

What Clients Say

I would highly recommend Inseyab to other firms looking for a professional team who take their work to the heart.

Samrah Adnan CD Strategy Lead (HR & Capability) - Unilever, Pakistan

I cherish my relationship with Inseyab and look forward to working with them again... Soon!

Maciej Rashwan MIS, Business Intelligence, Strategy & Corporate Performance - Fertil, UAE

Inseyab is a key partner in Asia region, its always a pleasure collaborating with them.

Jibran Jamshed Technology Consultant - Microsoft, UAE

Inseyab team has the ability to collaborate well with clients & produce meaningfull business insights. We highly recommend them to organizations gearing up for BI implementation.

Dhiren Modha Account Manager - Microstrategy, Middle East

It is a pleasure doing business with Inseyab and I would without any doubt recommend them to people in my network.

Kamran Sheikh Senior Enterprise/Solutions Architect - Abu Dhabi Government

With proven expertise across multiple vertical and geographies, we can see in inseyab a dedicated analytics partner of great potential to let our clients realize the power of data driven decision making.

Iftikhar Ahmed Analytics Channel Manager - IBM, KSA