Business Intelligence / Big Data Consulting Service

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1 Business Intelligence / Big Data Consulting Service DATASHEET

2 Business Problem Enterprises and IT businesses have been accumulating an enormous amount of data for years (according to IDC data is growing twice per year). Quite often this data is never used, thus causing extra storage cost and bigger TCO. As a result most companies are simply paying increasing bills for data infrastructure (storages, backups etc.), while successful companies leverage the collected data for making new/additional pr the analytics and improve their own business like Facebook or ebay; others like BuzzStream or Crowdbooster Another upcoming big challenge for the companies is that existing data processing systems cannot handle the exponentially growing load. Petabytes of data, incredible pace in which this data is coming, huge variety of sources, machine-generated, social and unstructured data - era of Big Data is not the future, it s our present. The demands for analytical capabilities are coming from multiple areas within the organization: marketing, sales, diversity of target audience is emerging: business users, customers, senior executives. Everyone needs easy access to timely and reliable data, everyone makes decisions. All these challenges require mature domain-driven solution to cover the analytical needs of the company. Our service helps customers to deliver software which transforms raw data into relevant, accurate and useable strategic knowledge. Approach To create the solution that precisely meets the business requirements, especially in terms of data quality, analytic capabilities, TCO, performance and scalability, SoftServe uses the approach to conduct the so-called consulting service at the early stage of product lifecycle. Consulting service is set of activities that aim to create clear vision/solution of the business requirements and system architecture in order to have product construction stage smooth and easy (implementation of the exact needed functionality, no rework etc.). Usually Consulting service consists of three phases: 2

3 Discovery During this phase system and business requirements are being collected. Usually customers require help in translating their business needs to technical requirements. In some cases the existing system is not scalable enough, in other cases TCO is too high. expectations, monitor environment in order to generate the exact requirements for the solution. It is common to involve business analysts to collect the valuable metrics, KPIs and KQIs which are critical for business decisions It is also important to understand the technical challenges of the system. For example, just stating the Big Data problem is not descriptive enough. In some cases big data means huge pace on which the data is being coming into the system. Such systems require providing high throughput to the data processing service, which can be addressed by architecting the distributed and horizontally-scalable database clusters. In other cases, big data means variety of the sources, especially if they provide unstructured or semi-structured data. These systems require leveraging the facilities of NoSQL database engines. During the Discovery phase the team is talking to the customer representatives, business users, analysts and other stakeholders. In case of necessity the team is visiting the customer on-site. Design and Improvements Usual inputs of this phase are results of the Discovery. The architecture of the system is tightly tailored to the To meet the needs of cross-company analytics, the Enterprise Data Warehouse (EDW) needs to be architected, and there are different approaches to go, including distributed and federated data marts, hub-and-spoke, DW bus architecture, etc. This includes also dimensional data modeling, OLAP design, establishing mature approach to Master Data and Data Quality Management to guarantee the functioning of DW as single version of the truth. To provide the maximum users experience in their analysis needs we build and visualize the data through reports, charts, stoplights, dashboards and business scorecards. Usually they are supported by interactive capabilities like drill-down, slice&dice, etc. 3

4 When building horizontally scalable database architectures, we involve distributed database systems like MapReduce/Hadoop, or cloud-based solutions like Amazon DynamoDB. To meet Big Data Analytics challenges our solutions often include column storage engines, leveraging MPP architectures. tools like Microsoft, SAP, Oracle, MicroStrategy, Tableau, Vertica, etc. The crucial factor in our service is that we develop applied BI solutions customized to the needs of Financial Analytics, Customer Analytics, Social Analytics, Web Analytics, Machine-Generated Data Analytics, etc. in different business domains like banking, retail sales, healthcare, education, networking, security, etc. Our data scientists enhance the BI solutions with decision-support capabilities using Machine Learning methodologies and algorithms, which allow automating the decision making process by implementing Predictive and Prescriptive analytics. We follow industry standards and best practices, reference architectures and patterns generalized out of our past experience to build the reliable data system architectures. To help our customers in choosing the right components for their architectures, we provide trade off analysis of the tools. generates ways to improve the architecture, optimize the resource consumption or provide more scalability to the system. Output and Deliverables Depending on the needs of the customer, usually deliverables include: Architecture Assessment Reports Architecture Design Documents Architecture and Performance Improvement Recommendations Gap and Bottleneck Analysis Cost Estimates Risk Assessments Trade Off Analysis and TCO comparisons The team produces the reports, design documents, estimates and delivers to the customer. Usually the same team is providing post-consulting service to ensure the continuity while transferring the results to delivery. Value Proposition Clients leveraging BI/Big Data consulting successfully manage terabyte and petabyte scale systems which are continuously growing at exponential rates. They optimize services based on data insight, perform instant what if analysis, visualize complex phenomena in easy to understand pictures, and gain strategic understanding of data to make better decisions. 4

5 ISVs and Technology-enabled companies: Speed up incorporating the cutting-edge technologies Build-or-buy decision Choosing the right tools, best-in-class platforms Reducing TCO Ensure establishing the best practices Following industry standards and proven approaches Eliminate technology risks Enterprises: Faster decision making, adjusted to business process and timely information. Strategic transformation use information to transform enterprise performance obstacles and redundancies Higher agility and scale embedded into products, services and operations Organizations improve management processes - such as planning, controlling, measuring, monitoring, and/or changing - so that management can increase revenues, reduce costs, or both Organizations improve operational processes such as fraud detection, sales campaign execution, customer order processing, purchasing, and/or accounts payable processing so that the business can increase revenues, reduce costs or both Clients leveraging BI Consulting service successfully implement business analytics to set targets, see results and understand what drives the numbers, make effective business decisions, identify patterns, trends, and associations in business data, know and trust the quality of information. The information is relevant to performance management and decision processes, it is accurate, consistent and timely. SoftServe Inc. US Headquarters University Drive, Suite 410 Fort Myers, FL USA Toll Free: Tel: Fax: Europe Headquarters 52 V. Velykoho St. Lviv, Ukraine Tel: Fax: info@softserveinc.com Web: Data Sheet : Business Intelligence / Big Data Consulting Service 5