Enterprises need to continuously improve efficiencies and efficacies to deliver more with less and to outperform the competition consistently. In order to do things better and smarter they need insights into markets, customers and their own internal processes to stay ahead of competition and to deliver sustainable business performance. Therefore businesses need to closely analyze the overall ecosystem and the data generated thereof. Looking at only organizational data will never yield the comprehensive intelligence that can deliver the ultimate edge over the competition. One has to dig deeper than the customary approaches of data analysis to deliver descriptive, prescriptive and predictive intelligence to Organizations
For quicker and better decisions, one must learn to cope with and build on the high volume and velocity of real-time structured and unstructured data in different formats. According to leading industry analysts Organizations that leverage technology to analyze both structured and unstructured data will perform 20% better than their competition in each and every financial metric. The global economy has been unforgiving to those organizations that lag in technology adoption. In the push to better compete on analytics, business leaders are looking to analytical solutions and platforms to deliver the next wave of profitability. However, the success of data analytics depends wholly on people who can link analytics to the business, as well as those with the skills and know-how to be able to take advantage of analytics
How Baker Tilly helps:
Baker Tilly's Analytics Services help organizations to build enterprise-wide analytics culture by effectively marshalling deep industry knowledge, cutting edge mathematical and statistical methods, business insights and technology tools to help you.
- Optimized operations
- Better financial performance analysis
- Deeper customer insights - Product innovation - Service innovation/optimization - Transformed management processes - Creating new business models
- Enhanced regulatory compliance - Monitor and control internal risks - Counter fraud and thefts
Advanced Analytics capabilities extend beyond business intelligence. Leading organizations are analyzing both structured and unstructured data to derive the patterns and predict the outcomes to stay ahead of the competition.
Advanced analytics capabilities can help enterprises to discover what is happening, determine why it is happening, predict what is likely to happen and prescribe the best action to take.
We understand that information, insights and foresights impact every aspect of business. Analytics can help you predict customer behavior, meet their needs and cement long-term customer relationships. We leverage our business consulting experience, deep industry expertise, product mastery and specialized tool to integrate Advanced analytics into your organization culture to deliver:
Personalized customer interaction:
Analytics can help you understand your customers and anticipate their future behavior and needs. This insight can help you deliver the high level of personalization and service that consumers expect.
Business Transformation with Advanced Analytics:
Traditional analytics can tell you what happened and why, but leading organizations are using predictive analytics to understand what could happen and prescriptive analytics to choose the next best action.
Integrated insight into the comprehensive global ecosystem:
Integrated insight into the comprehensive global ecosystem: Collating data from multiple channels like social media, mobile, ecommerce and market data into your analytical engine along with your own data to derive invaluable and accurate analytical insights.
360° view of Customer interaction across all business channels:
Aggregating and analyzing customer interaction across all business channels helps organizations to deep dive into comprehensive customer experience and empowers them to apply predictive and forensic analytics.
Big Data Analytics
Big data analytics is the process of examining large data sets containing a variety of data types -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival enterprises.
The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. That could include Web server logs and Internet click stream data, social media content and social network activity reports, text from customer emails, data exhaust, survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of Things.
Why collect and store terabytes of data if you can't analyze it in full context? Or if you have to wait hours or days to get the analytical reports? With new advances in computing technology, there's no need to avoid tackling even the most challenging business problems. For simpler and faster processing of only relevant data, you can use high-performance analytics. Using high-performance data mining, predictive analytics, text mining, forecasting and optimization on big data enables you to continuously drive innovation and make the best possible decisions. More so organizations will be able to create seamless and delightful customer experience to win their loyalty.
Big Data Analytics is increasingly emerging as a key enabler in helping organizations achieve better and unified customer experience across all channels and providing value across the customer experience life cycle. Creating a powerful customer value proposition requires understanding customer behavior, preferences and needs along with product/service lifecycle and related factors that influence the value perception either directly or indirectly.
How Baker Tilly Helps:
Baker Tilly helps you leverage customer data on purchase patterns, preferences, feedback, wish lists, enquiries etc. to generate customer insights in real time. Our Big Data Analytics Service helps you:
Our Big Data Analytics Service puts in place data, processes, analytics tools and visualizations, coherently, by enabling faster time to insights, and enhancing the quality and reliability of insights through exploratory and self-learning models. We help you improve business outcomes through data driven decisions.