Systematix Infotech

BUSINESS INTELLIGENCE Introduction Business Intelligence is the set of techniques and tools for the transformation of your raw data into meaningful and useful information for business analysis purposes. Power BI and You: For Analyst • Quickly go from data to insight to action. Connect to hundreds of sources, prep data with ease, and create beautiful reports, all in minutes. For Business Users • Always be in the know. View dashboards on the web or on your phone, get alerts when data changes, and drill into details. Your data is at your fingertips. For IT • Simplify management, achieve compliance, and keep data secure while giving people access to the insights they need. Systematix Is Your BI Partner Need to discover the right BI solution for your business data? Browse the Systematix Solutions now to find the right solution for your organization. Systematix have an experienced Business Intelligence, Data Visualization and Analytics Expert with 12+ years of industry experience. Experience of assisting in the development and upgrading of database systems and analytical techniques. Systematix BI team played a key role in  Analyzing problems and come up with creative solutions  Produce methodologies and files for effective data management and taking right decisions.  Customize power BI solution to help you Experience & Technical Skills Experience: Technical Skills: Power BI Tableu Excel SSRS & SSAS Cloud Python           Importing Data Foundation of Statistical Methods Missing Value and Imputation Simple Linear Regression Multiple Linear Regression Generalized Linear Model and KNN Model Regularization and Cross Validation Reporting Server of Power BI, SSAS and SSRS Power BI Embedded Parameter Management Domain Experience We provide end to end solution to our customers which results in Long Term Relationship. We offer flexible engagement models and in time predictive analysis via Excel and Python. We worked on following domains like; Retail Finance Shipping Sports & Gaming Operations & Manufacturing Telecom Ecommerce Banking Logistics CRM Analytics Area of Expertise Consulting Implementation Data Science Data Warehouse Modernization We deliver the fastest enterprise solutions with experience of Power BI, Tableau and Excel Power Query         Fastest query response Unprecedented scalability Deeper customer insights More efficient operations Effective use of machine data Simplified data preparation Add data incrementally Secure access to data lake       Knowledge of Hadoop Cloudera using Hive. Predictive Analysis via Excel Spark with Python Advanced knowledge of Excel Data Mining Good knowledge of Numpy, pandas, Matplotlib and Seaborn libraries Our Operations Data Visualization  Connecting with different data sources like MS SQL, EXCEL, MYSQL, ACCESS DATA BASE, PY- SPARK, QUICK BOOK ONLINE, ORACLE DB, ,CRM, AZURE, AWS, SAP, SALES FORCE.  Applying quick filters, parameter and hands-on in publishing dashboards to server and handling the security like adding users in server and giving permission  Extracting the data from multiple data sources using data blending  Developed various charts like BAR CHART, SCATTER CHART, HISTOGRAM, BOX PLOT, LINE CHART, TREE MAP, HEAT MAP, PIE CHART, SCATTER PLOT AND GEOGRAPHICAL MAPS. CREATED DYNAMIC FIELDS USING MEASURE, LOD EXPRESSION AND DAX  Building various views using sorting, grouping, dimension hierarchies, filters, quick filters, actions, and quick table calculations  Creating the templates, parameter and user roles  Working on reporting server and power bi embedded  Creating dashboards and story board Our Operations Statistical Analytics Techniques         Linear and logistic regression, probity, hierarchical regression Sentimental and cluster analysis Principal component analysis, factor analysis Time series analysis Decision Trees: CHAID, CART, NEURAL NETWORKS Structural equation modelling and path analysis Hypothesis test Anova and chi square Data ETL  MS Excel, MS Access, SQL server  My SQL, Oracle, DB/2 BI Benefits to Organization Following are the benefits of Power BI such as;  Unlimited access to on premise and in-cloud data  Interactive and stunning visualizations you can share with wide audiences  Consistent analysis  Simplified answers to complex questions  Immediate and fruitful collaboration  Access to a robust collection of learning materials  Reasonable pricing  Unlimited connectivity Anytime, Anywhere, Any Device! Be informed: always real time! Curated content: Just for your org. Make data driven decision, from anywhere – Integrate with Power BI End Chaos: Everyone on the same page How Can it Help Your Business Understand and provide what the customers want Ingest, search, and analyze all your logs in real-time Understand and provide what the customers want - NOW! Securely govern and access data with centralized metadata harvesting and publishing Recover failed pipelines from the point of failure through corrective suggestions Predict asset failure to optimize supply chain processes and quality Introduction Pakiza has excelled in the retail business through its innovative and revolutionary thinking and most importantly for taking Retail Industry in Madhya Pradesh to another level. Pakiza Project Domain: Retail & E-commerce Demo URL: https://goo.gl/9PBdLw It has not only synchronized the industry but has also given a whole new definition to it. The foundation of this multi brand Pakiza, is based on emotional connect with the consumers. It is a brand name reckoning with quality, affordability and trust since 1975. Key Features To improve business performance by increasing repeat sale this can be achieved by gaining new insights about the customers in order to improve decision making around pricing and marketing.  Buyer pattern and preferences  Predictive analysis for consumer demand  Digital marketing strategies  Identify top performing categories. Problem Addressed       Identify which products were bought together or which products were bought before the purchase of a particular product Measurement of the entire shopper journey, including new versus repeat customer, visit frequency and duration Work out what will be this season’s “must have” items, whether that be children’s toys or designer dresses Analyses cash less purchase Deciding which customers are likely to want a particular product Where to spend their marketing amount for maximum return, whether it’s in advertising, social media campaigns, direct marketing, in-store promotions, or some other channel Snapshots Introduction Drewry Project Benchmarking is a quantitative analysis that primarily involves calculating sums, averages, minimum and maximum against the filtered data sets to present the context to a particular data or record (In this case port to port rates data provided by shippers). Key Features Domain: Logistic & Transportation Demo URL: https://goo.gl/f2JEKd Drewry performs benchmarking analysis on data uploaded by customer for:  Port to Port Rates (Basis All In Rates of the shippers)  Shipper Size (Based on Total TEUs)  Shipping Information Validity must be able to show/select total validity of rates at time of agreement (valid from – to), (e.g. 12 months) and show / select no. of months’ validity left (e.g. 3 months)  Direct / Transhipment  Port to Port Transit Time  Port to Port Free Arrangement Days Problem Addressed             Spend analysis - This is study of amount spent by shipper over various routes and benchmarking of the same Rate analysis - This is study of rates uploaded by shipper for various routes Rate & service performance – this is the study of Transit time and free time for shipper Transportation metrics: Tracking transportation metrics allows you to view your performance over time and guides you on how to optimize your logistics and supply chain operations Freight cost per unit shipped: Calculated by dividing total freight costs by number of units shipped per period. Useful in businesses where units of measure are standard (e.g., pounds) Outbound freight costs as percentage of net sales: Calculated by dividing outbound freight costs by net sales Inbound freight costs as percentage of purchases: Calculated by dividing inbound freight costs by purchase dollars Transit time: Measured by the number of days (or hours) from the time a shipment leaves your facility to the time it arrives at the customer's location Claims as % of freight costs: Calculated by dividing total loss and damage claims by total freight costs Freight bill accuracy: Calculated by dividing the number of error-free freight bills by the total number of freight bills in the period Accessories as percent of total freight: Calculated by dividing accessorial and surcharges by total freight expenditures for the period Mode selection vs. optimal: This is calculated by dividing the number of shipments sent via the optimal mode by the total number of shipments for the period Snapshots Thank you THANK YOU - - Facebook Google+ Twitter www.systematixinfotech.com LinkedIn