Analytics and BI
We cooperate with leaders, visionaries and niche players in the BI systems market.
We deploy BI solutions from vendors: IBM Cognos analytics, MS Power BI, QlikView, Qlik Sense, Tableau, Information Builders WebFOCUS, Looker, Watson analytics, SAP BusinessObjects BI, Lumira, Reporting Services, Oracle BI.
And we also deal with open-source business intelligence systems: Grafana, Kibana, Pentaho, Jaspersoft, BIRT, JS frameworks.
TYPICAL APPLICATIONS OF BI SYSTEMS
Analyze static and dynamic sales performance, including marketing efficiency across the company: from the website to closing ratio and sales targets.
BI systems facilitate market research; analysis of product ratings, managers, suppliers and buyers by any metrics; product mix and sales pattern; elasticity of demand; analysis of transactions: average basket, joint purchases, footfall, units per transaction, etc.
BI systems assist in building a conversion and purchase funnel, segmenting customers, analyzing ads, competitors, customer LTV.
SOLUTIONS & PRODUCTS
Learn if there are enough products in stocks, whether the right goods are stored in the right quantity; whether the logistics is correct.
BI systems help analyze the volume of purchases, the return to cost ratio; evaluate the cost and level of inventory, turnover, the number of suspended and unsold goods, etc.
BI systems help evaluate logistics performance (mode of transport, its depreciation, wear and tear, maintenance; delivery times and costs), analyze shipments, routes, carriers, tenders, customs bills of entry, and audit goods and payments.
SOLUTIONS & PRODUCTS
Analyze finances, companies: profit and loss, liquidity ratios, cash flow, budgeting, etc.
Assess the deviations of the company’s financial figures: revenues, margins, net profit, income taxes, cost and expenses.
SOLUTIONS & PRODUCTS
Tell us about your challenges for BI systems.
HOW CAN BI SYSTEMS HELP YOU TO ADDRESS THE CHALLENGES OF YOUR INDUSTRY?
Trading companies use BI systems to analyze static and dynamic sales performance, analyze average purchase amount, average basket, jointly purchased goods, evaluate the depth and width of the assortment matrix, stocks, planograms and display, orders, promotional events, a loyalty program, finance (cash flow , budgeting, etc.).
BI systems help to find patterns in shaping of demand, and segment consumers according to their response to price changes, etc.
BI systems in banks improve the quality of risk management, speed up the generation of reports for regulating authorities; facilitate modeling of financial flows and the financial condition of the bank.
BI systems help analyze revenue, average spend, customer acquisition cost; indicators of debt, customer churn, active/inactive/new subscribers, profit per subscriber; the number and duration of calls, the number of calls to the call center, marketing campaigns, etc.
Pharmaceutical companies use BI systems to analyze transactions (typical purchases, cross-sells, average spend), monitor expiration dates, availability of medicines from mandatory list, pricing policies, etc.
BI systems can be integrated with third-party services to analyze competitors’ prices, seasonality of demand, shares of imported and local medicines.
Solutions help evaluate vendors and medical representatives, their marginality.
Using business intelligence, pharmaceutical companies analyze the order to determine the optimal volume of drug delivery to the pharmacy.
Manufacturing companies use BI and predictive analytics to analyze any business processes: purchase of raw materials, costing, analysis and distribution of costs, analysis of purchase orders, storage of goods in a warehouse, logistics, etc.
Data benefits the business when Data Literacy is fostered in the company – the literacy of specialists in data handling. This means that employees are able to understand and analyze information.
Analytics answers the question “why?”, so employees need to not only understand what the data shows, but also find the answer to the question “why did this happen” in analytics. This approach helps companies track cause and effect in business operations, correctly store and display this information using appropriate tools, and make the right management decisions.
Data Literacy starts with developing data processing processes: bring the accumulated information to a common form, remove duplicates, define the structure for incoming data, and determine data sources and a single storage for all information.
IBA GROUP EXPERTISE IN ANALYTICS
Consulting and audit
Audit. We will audit your existing BI solutions and determine the reasons why the solution does not work as intended: incorrect deployment, unconfigured processes, etc.
We will identify what needs to be improved and how to customize the BI system for your needs.
Consulting. We had dealings with customers from various industries, so we understand what you may require from a BI system. Our professionals will offer a solution with pre-configured sections and indicators, which you can test.
We transfer data to a new BI system and help companies build a data-driven approach to management strategy.
We work with Qlik, Microsoft Power BI, Tableau, Pentaho, IBM Cognos Analytics, etc.
Deployment and Evolution
We deploy business intelligence systems, engage with vendors and handle open-source systems.
Thanks to our diverse experience, we have accumulated a lot of knowledge on how companies use BI systems and now we share this knowledge (in compliance with NDA). Our experts can determine whether the deployment will be successful in the existing conditions and what needs to be done to make the project successful.
Big Data and Enterprise Data Warehouses
Enterprise Data Warehouses accumulate a large amount of data used for analysis by business intelligence systems.
You’ll get a secure solution integrated with all the applications you need. We provide solutions powered by Big Data platforms with a connection to any data source.
We develop and implement processes for extracting, transforming and loading data (ETL and ELT processes), methods for data quality monitoring and data masking (DQM), and also design distributed computing processes.
High-quality data becomes available in the proper form to the employees of your company. Learn more about Data Engineering Services.