Current and Projected Data-Driven Retail Solution Market size in terms of volume and value 2015-2025 by FMI Estimate

Global Data-Driven Retail Solution Market: Overview
Data-driven retail solution helps retailers to identify and understand consumer by collecting customer’s information such as profile attributes, mode of transaction and behavior etc., from customer relationship management, point-of-sale, e-commerce, navigation logs and social media such as Facebook, Twitter and Pinterest etc. It automates the industry insights about loyal customer, purchases behaviors, audience behaviors, customer segments, and customer journey by analyzing the collected customer information. Data-driven retail solutions enable retailers to integrate their marketing strategies or program with the data-driven solution in order to personalize the purchase experience, engage with each customer specifically, and simplify the purchase process. Data-driven solution’s multi-funnel tracking feature provides easy and actionable sales analytics dashboards which enable retailers to improve the efficiency and coordination of multi-funnel strategy and multi-channel respectively.

Global Data-Driven Retail Solution Market: Segmentation
Global Data-Driven Retail Solution market is classified into solution, deployment model, service, and region.The global data-driven retail solution market can be segmented on the basis of solution which includes retail customer intelligence, media intelligence, customer relationship management, collaboration tools and other solutions. Deployment model includes on-premise and cloud-based. On the basis of service the market can be segmented into consulting, implementation service and integration. Region wise, global data-driven retail solution market is segmented into North America, Latin America, Western Europe, Eastern Europe, Japan, Asia Pacific Excluding Japan (APEJ), and Middle East and Africa (MEA). At present, North America is dominating the market followed by Western Europe. Among all the regions, APEJ is expected to create huge market opportunity for major players operating in the data-driven retail market during the forecast period.

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Global Data-Driven Retail Solution Market: Drivers
The global data-driven retail solution market is majorly driven by the increased awareness among retailers regarding the benefits of implementation of cloud-based customer & market intelligence solutions and services for business operations. Cloud-based solutions and services enable retailer to manage and control the cost associated with the IT infrastructure. In addition, increasing popularity of software as a service (Saas), cloud computing and big-data analytics in order to improve business operations, sped up information retrieval, and facilitate work are projected to increase the demand for data-driven solution in retail sector across globe.

Global Data-Driven Retail Solution Market: Restraints
While studying the data-driven retail solution market we came across some of the restraints that are limiting the digitization of retail sector worldwide. Some of them are lack of awareness across the sector especially in emerging markets such as India, China, Brazil and Argentina, regarding adoption of digital retail solutions and services for enhancing business operations and high initial cost associated with the implementation of these solutions and services are hindering the growth of data-driven retail solution market.

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Global Data-Driven Retail Solution Market: Competitive Landscape
Key players in the global data-driven retail solution market focus on strategic alliances with industry experts in order to improve their offerings and strengthen position in digital customer identity management field. For example, Silentale signed a partnership agreement with Gigya Inc. in order to enhance its social media capabilities by integrating the digital platforms of Silentale and Gigya.

Global Data-Driven Retail Solution Market: Key Players
Some of the major players identified in the global data-driven retail solution market are Tata Consultancy Services Limited, Oracle Corporation, Microsoft Corporation, Neustar Inc., Infogroup, and Silentale etc.

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Expected value of binomial distribution | Probability and Statistics | Khan Academy

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Innovative Financial Advisors Pvt. Ltd. – Natural Resources and its Fiscal Value

Innovative Financial Advisors Pvt. Ltd. – In 18th century, Germany had a uniform narrow vision of looking at forest, mainly through the fiscal lens. In the process, it ignored the naturalistic (comprising of different type of flora like grasses, flowers, lichens, ferns, mosses, shrubs, and vines, reptiles, birds, amphibians, and innumerable species of insects and other fauna except those that interested the state) and anthropological (forest used for hunting and gathering, pasturage, fishing, charcoal making, trapping, and collecting food, valuable minerals, worship, magic etc) perspective.

Hence, in the view of state’s economic way of looking at forests came about scientific forestry in Prussia and Saxony which reduced fiscal management to scientific principles based on systematic planning in which plots were divided on the basis of yields. Innovative Financial Advisors Pvt. Ltd. believes this overlooked the concept of diverse trees and their sizes. Johann Beckmann assigned I have colours nails to each kind of tree to count trees and applied the core volume principle to figure saleable timber of the various varieties of trees.

Felling of trees began in the bid to establish uniform armies of the same kind of a tree (Norway spruce) in a forest, as it had economic value. It was like a forest laboratory that took into account rainfall, weeding, fertilizer intake etc. As per Innovative Financial Advisors Pvt. Ltd. this standard type of forest was much easier to manage by the state compared to the varied elements that previously existed in a forest and it promised the state non fluctuating economic returns. However, this planned and unplanned felling resulted in soil degradation which made the soil weak against the storm and made the trees prone to pests as a single type of tree was more prone than mixed trees. Since the pest eating insects were gone the German state rule reintroduced artificial anthills and spiders to tackle the problem (Scott, 1998).

Similarly, in absolutist France in the 17th century the noble men, clergy etc. were not under the burden to pay tax and commonly owned land yielded no tax. However, things like tobacco, titles and offices were taxed. Troops were put in civilian homes so that people were forced to pay tax. This uniform state measure to extract tax ignored the local and the indigenous and their land as land value differed for differed regions. People were pressurized with feudal rents. Cadastral maps were created and land holdings were assigned with codes. Individual ownership of property was regulated by the state and the common property village land was removed. Cadastral maps ignored basic aspects like fertility and location and needed to be updated regularly. The meter system in France was not fair for all as measures were based on the position people held. At one hand this uniform system of taxation and extraction made governing much simple but on the other standardized land tenure system neglected local customs related to property (Scott, 1998).

Hence, the states approach of filtering and focusing on only one aspect can be viewed keeping in mind the issue of famines. As famines can be a result of food availability decline in a nation as well as the policies that do nothing to reduce famines. For instance, the 1947 famine occurred right after the soviet war in the tyrannical regime of the Soviet Union. The drought affected the state procurements much less than the peasantry. The net exports fell but the seed loans increased indicating that the state wanted to maintain agricultural production.

The state reduced exports as a mere response to famines but continued building its state grain reserves by pressurizing the peasants to deliver. The famines did see a drop in the state grain reserves but even then the reserves were enough to feed the people and were not utilized by the state. Planners reserves and other additional reserves were not used either (Ellman, 2000). Surplus stocks rose sharply. Soviet union previously had years of bad harvest, however, the condition was better before as state had sustained consumption by substantial grain stocks unlike in the famine of 1947.

Amartya Sen who has worked on famines believes based on his study of the great Bengal famine that having large food supply in the public distribution system can help to break famine, by rationing and having controlled shops, but people should not be excluded from the distribution system. The fishermen, agricultural labourers of Bengal who were excluded from the system suffered and died of starvation. In a similar way in some cases having large food supply in the hands of the state is not always the best thing to do as state will only feed those who are of priority to the state like in the 1947 famines where state fed only those peasants who contributed to the state grain reserves (Sen, 1981).

Innovative Financial Advisors Pvt. Ltd. is associated with Health organizations for their CSR activities across India. Innovative Financial Advisors Pvt. Ltd is working in development sector.