EnterpriseData & Analytics

Data is the new superpower that runs the core of an enterprise aspiring to be digital. It is an asset that supports businesses to learn about new opportunities, hidden threats, evolving customer expectations, competitive landscapes, etc. The problem-first or data first approach across industries leads businesses to demand smarter, productive and analytical approach to stay competitive in the cutting-edge marketplace. Big data and machine learning technologies have empowered organizations with a real-time analytical approach and helped businesses understand consumer sentiment closely and accurately.
Data analytics helps organizations to increase their brand loyalty and articulate the hidden value of their product and services with increased throughput, reduced market-risks and smarter decisions with data-driven decision systems thus enabling enterprises to monetize data.


SLIGO expertise in data visualization helps you translate information into a visual context, such as map or graph, to make data easier for the management to understand and pull insights from. We help you save time spent in performing data analysis and quickly ascertain winning decisions through interactive visualizations.

BI implementation provides instant access to all critical data and allows you to be proactive rather than reactive in your business choices. Very often, fragmented pieces of data different departments possess prevent them from correctly observing the entire picture. By business intelligence implementation you will get a single version of the truth, which is crucial for the data-driven decision-making management to be engaged on behalf of the whole company.
Having BI Reporting process in any Organization has vast benefits, weather companies that are using self-service BI tools, so that non-technical users can create their own reports or companies may also be using traditional BI tools to create standard/ ad-hoc reports for a consistent delivery of reports within an organization. BI tools can make it easier for employees to use data and gain a granular understanding of important business metrics. Teams can use reporting data to make better decisions, and share the data with others. Leaders can use business intelligence data to support their decisions. BI reports also help companies see the bigger picture by aggregating data from multiple departments and allowing users to interact with that data.
Raw data becomes valuable when transformed into analytics-ready, actionable information. By bringing disparate formats together into a unified data repository, an integrated BI system offers better visibility and efficiency into the enterprise assets. Therefore, successful BI initiatives are a combination of an effective integration and analytics strategy. Assimilation of data from disparate sources renders users derive hidden insights. With BI integration, we enable the analysis of key data points cohesively via holistic visualizations.
A business intelligence migration simply means moving your analytics from your existing business intelligence environment to a new one. While the definition might be simple, planning and executing a migration plan can seem daunting if you have never done it before. The reasons that motivate these migrations are quite varied and range from moving away from manual analytical processes that take a long time to produce, to consolidating a large array of tools that drain company resources in licensing, maintenance and operational costs. Other companies may try to take advantage of more modern capabilities, such as visual data exploration or even dip their toe into Artificial Intelligence (AI) or Machine learning (ML) to Natural Language Querying. You might even have the systems generate analytical application automatically, using Natural Language Generation. While the need for BI Migration is most likely be driven by business goals, and business users, we recommend beginning any migration effort with gathering consensus, and aligning all stakeholders on what the migrated application should be like. How is it going to meet the expectations of advanced capabilities, improved user experience or reduced total cost and reduced time to value for the applications that will be built on the new platform.
Maintaining a healthy BI system is a cyclical, ongoing, never-ending process. BI helps companies adapt to changing market conditions. But BI is more than just knowledge generation. BI itself must be adaptive to move with organizations as they change, to enable them to continue evolving, and be able to support and address consequent changes in data analysis and reporting needs. Weather it is paying careful attention to ever changing data/ tracking changes between the rollouts/ monitoring of BI tool’s performance to make sure it is running smoothly or providing adequate end-user training, every aspect needs to be given enough importance in maintaining a BI Platform.


SLIGO expertise can get your data where you need it to be, whether your data warehouse is on-premise or in the cloud, breathing new life into your business analysis, reporting, and decision-making.

Any organizations’ data warehouse is more than just a point of storage for your organization’s data. It powers advanced analytics by compiling data from every available source and generating valuable reports that drive strategic decision-making. Any obstacle that gets in the way of those goals will hold your business back, which can slow down the purpose and motto of the organization. From Scalability to end-to-end integration to cost-effectiveness to supporting sophisticated analytics, every aspect is very crucial to be asked within an organization before considering data warehouse upgrade.
Today, data management technology is growing at a fast pace and providing ample opportunities to organizations. Organizations these days are full of raw data that needs filtering. Systematically arranging the data to get actionable insights for decision-makers is a real challenge. Thus, meaningful data accelerates decision-making, and using ETL/ ELT tools for data management can be helpful. There are currently several ETL/ ELT tools in the market that have expanded functionality for data cleansing, data profiling, big data processing, master data management, data governance, and Enterprise Application Integration (EAI). With the availability of data in the warehouse or online analytical process (OLAP) cube, a Business Intelligence (BI) software is used to visualize and analyze them.
A data warehouse is any system that collates data from a wide range of sources. Data warehouses are used as centralized data repositories for reporting and analytical purposes. An Enterprise Data Warehouse (EDW) manages and stores business data. This data typically comes from different systems like Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), and physical records. On-prem data warehouses collect, store, and analyze data on onsite servers. As a result, companies need to manage hardware infrastructure. However, on-prem management is not always a viable option for various reasons. Weather it is upfront/ ongoing costs or performance or flexibility or scalability, Over the last couple of years, organizations have started moving their data warehouses to the cloud. A typical data warehouse contains a large amount of data covering many business areas. Migrating all the data at once would almost guarantee failure. You need to take incremental steps to successfully migrate your data warehouse to the cloud, especially when undertaking significant design changes.
Historically, approaches to operating a data warehouse environment have been somewhat lax. Manual and semi-automated methods for populating and updating the contents of the warehouse have been widespread. Advances made in the data warehouse itself have been offset by the spread of ad hoc approaches in departmentally managed data marts. The measure of success of a data warehouse is only partly defined by the number and satisfaction level of active users. The nature of creative decision-making support is that users are continuously discovering new business requirements, changing their mind about what data they need, and thus demanding new data elements and structures on a weekly or monthly basis. Indeed, in some cases, the demands may arrive daily! As digitalization continues apace across all industries, the role and value of a data warehouse—together with its attendant data marts and associated data lake—becomes ever more central to business success. With such informational systems now becoming as important as traditional operational systems, and often more so, it should be self-evident that highly reliable and efficient operating practices must be adopted.

Consulting & Data Advisory

Find the right data strategy to align your IT and operation teams with every business opportunity. From assessment to modeling and implementation, we have all of your data needs covered.

Data Migration

We solve the logistical challenges of selecting, preparing, extracting, transforming data by applying focused expertise, following security best-practices, and mitigating impact to operations.

Master Data Management

Ensure that your data is reliable and accessible to those who need it, when they need it with an MDM solution. Create a centralized repository for critical master data to streamline access and user experience.

Data Governance

Stay in compliance and exercise control over your data every step of the way with data planning, monitoring, cataloging. We make adhering to regulations easy and streamlined.

Data Quality Management

Maintaining data quality leads to increased efficiency, productivity, and competitive advantage. Our data profiling, data quality, data integration and augmentation services serve the ultimate goal of empowering informed business decisions.

Data Monetization

Leverage your data to generate new revenue and profit streams with data monetization strategies that focus on creating measurable business and revenue impacts.


Smart Decision-Making

Provide personalized operational dashboards based on real time data for enhanced and guided decisions.

Enhanced Performance

Provide unified data view with interactive and intuitive reports, thus enabling users to take informed decisions and improve performance.

Improved Operational Efficiency

Reduce metadata handling complexities allowing users with ease of access to data and operational reports.

Enhanced Customer Satisfaction

Provide personalized customer services using advanced data analytical tools and technologies like AI and ML.

Competitive Advantage

Provide insights with organizational and industry data using our big data analytical capabilities and tailored machine learning intelligent solutions.

New Revenue Streams

Generate new revenue and profit streams with focus on business innovation based on data insights.